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feat: migrate Luigi pipeline agents from 82deutschmark/staging2, add applicability review
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# Luigi Pipeline Agents Review (82deutschmark/PlanExe staging2 → PlanExe2026)
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**Date:** 2026-02-20
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**Source:** `82deutschmark/PlanExe:staging2/.agents/luigi` (73 agents)
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**Target:** PlanExe 2026 post-plan agent swarm architecture
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**Reviewer:** Migration task - automated applicability assessment
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---
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## Executive Summary
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The Luigi pipeline agents represent a **production-grade orchestration system** for PlanExe's sequential planning stages. This migration evaluates 73 agents (11 stage leads + 62 task agents) from the legacy Luigi pipeline for compatibility with the **post-plan agent swarm pattern** in PlanExe 2026.
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**Key Finding:** ~60% of these agents remain **highly applicable** as foundational task orchestrators. They require **API signature updates** and **tool abstraction changes** but preserve proven planning logic.
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---
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## Stage Architecture Overview
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The Luigi pipeline is organized in **11 distinct stages**, each led by a Stage Lead agent that orchestrates task agents:
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### 1. **Plan Foundation Stage****APPLICABLE**
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**Purpose:** Convert strategic intent into baseline project plan
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**Stage Lead:** `plan_foundation_stage_lead`
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**Task Agents:**
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- `preprojectassessment-agent` — Pre-flight readiness checks
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- `projectplan-agent` — Core schedule & deliverables
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- `relatedresources-agent` — Reference materials & knowledge base
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**Applicability:** Core planning step remains essential in 2026. **Minor updates needed:**
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- Tool abstractions (read_files → cloud storage API)
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- Output format standardization (Markdown → structured JSON)
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**Recommendation:****KEEP & UPDATE** — Critical path planning logic is timeless.
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---
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### 2. **Risk & Assumptions Stage****APPLICABLE**
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**Purpose:** Identify & document project risks and strategic assumptions
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**Stage Lead:** `risk_assumptions_stage_lead`
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**Task Agents:**
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- `identifyrisks-agent` — Risk discovery workshop
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- `makeassumptions-agent` — Assumption elicitation
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- `distillassumptions-agent` — Consolidate into risk register
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- `reviewassumptions-agent` — Peer review of assumptions
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**Applicability:** Risk management is evergreen. **Moderate updates:**
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- LLM model versions (GPT-5 → Claude 4 equivalent)
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- Risk scoring matrix template updates
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- Export format (Markdown → JIRA/Monday.com API)
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**Recommendation:****KEEP & REFACTOR** — Migrate to modern threat modeling (STRIDE, CIA) frameworks as optional enrichments.
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---
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### 3. **Strategic Lever Development****APPLICABLE WITH CAVEATS** ⚠️
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**Purpose:** Develop solution options via problem decomposition
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**Stage Lead:** `strategy_stage_lead`
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**Task Agents:**
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- `candidatescenarios-agent` — Generate option scenarios
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- `selectscenario-agent` — Pick winning scenario
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- `potentiallevers-agent` — Identify solution mechanisms
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- `deduplicatelevers-agent` — Remove redundancy
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- `enrichlevers-agent` — Add implementation detail
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- `focusonvitalfewlevers-agent` — Prioritize by impact
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**Applicability:** The logic is sound, but **2026 reality check:**
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- Assumes linear scenario selection (may need iterative refinement loops)
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- Manual enrichment (automate via domain expert agents?)
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- Vital-few prioritization is heuristic (add ROI scoring)
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**Recommendation:** ⚠️ **KEEP WITH ENHANCEMENT** — Add multi-armed bandit scenario optimization.
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---
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### 4. **Team Assembly Stage****APPLICABLE**
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**Purpose:** Build & profile project team
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**Stage Lead:** `team_stage_lead`
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**Task Agents:**
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- `findteammembers-agent` — Identify candidates
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- `enrichteammemberswithbackgroundstory-agent` — Gather backgrounds
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- `enrichteammemberswithcontracttype-agent` — Classify roles
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- `enrichteammemberswithenvironmentinfo-agent` — Add context
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**Applicability:** Still relevant for executive planning. **Key updates:**
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- HRIS/CRM integrations (Workday, HCM systems)
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- Skill taxonomy alignment with org hierarchy
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- Contract type mapping (updated employment models post-2024)
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**Recommendation:****KEEP & INTEGRATE** — Wire to enterprise HRIS via API.
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---
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### 5. **Context Localization Stage****APPLICABLE**
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**Purpose:** Ground plan in market/operational context
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**Stage Lead:** `context_stage_lead`
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**Task Agents:**
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- `physicallocations-agent` — Map geographic constraints
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- `currencystrategy-agent` — Handle multi-currency planning
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**Applicability:** Contextual grounding essential. **Updates needed:**
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- Global supply chain disruptions (post-2024 intel)
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- Geopolitical risk scoring (new sanctions, trade wars)
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- Currency volatility patterns
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**Recommendation:****KEEP & ENHANCE** — Integrate live geopolitical/currency feeds.
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---
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### 6. **WBS & Schedule Stage****APPLICABLE**
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**Purpose:** Build hierarchical work breakdown structure
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**Stage Lead:** `wbs_schedule_stage_lead`
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**Task Agents:**
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- `createwbslevel1-agent` — L1 deliverables
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- `createwbslevel2-agent` — L2 work packages
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- `createwbslevel3-agent` — L3 tasks
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- `estimatetaskdurations-agent` — Duration estimation
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- `createschedule-agent` — Timeline generation
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- `identifytaskdependencies-agent` — Dependency mapping
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**Applicability:** The fundamental WBS structure is unchanged. **Modernization points:**
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- Duration estimation (add Bayesian inference, historical data)
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- Critical path analysis (replace CPM with schedule risk analysis)
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- Resource leveling (integrate with HRIS team stage)
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**Recommendation:****KEEP & OPTIMIZE** — Upgrade to probabilistic scheduling (three-point estimates).
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---
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### 7. **Analysis & Gating Stage****NEEDS ASSESSMENT** ⚠️
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**Purpose:** Quality gate before execution
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**Stage Lead:** `analysis_stage_lead`
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**Task Agents:**
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- `setup-agent` — Plan initialization
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- `starttime-agent` — Kick-off orchestration
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- `redlinegate-agent` — Review gate / approval barrier
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**Applicability:** **CRITICAL DEPENDENCY:** PlanExe 2026 architecture may have different approval gates. **Assessment required:**
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- Does the new swarm pattern include human approval loops?
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- Who signs off (PMO, steering committee, executive sponsor)?
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- What triggers escalation?
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**Recommendation:** ⚠️ **NEEDS DESIGN REVIEW** — Align with PlanExe 2026 governance before reusing.
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---
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### 8. **Documentation Pipeline Stage****PARTIALLY APPLICABLE** ⚠️
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**Purpose:** Generate required planning documents
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**Stage Lead:** `documentation_stage_lead`
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**Task Agents:**
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- `datacollection-agent` — Gather document metadata
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- `identifydocuments-agent` — List required documents
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- `filterdocumentstofind-agent` — External research docs
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- `draftdocumentstofind-agent` — Locate & curate
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- `filterdocumentstocreate-agent` — Create vs. reuse decision
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- `draftdocumentstocreate-agent` — Author new docs
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- `markdownwithdocumentstocreateandfind-agent` — Consolidate references
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**Applicability:** Document generation is heavily context-dependent. **Caveats:**
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- Heavy assumption on Markdown as interchange format (may need JSON/structured)
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- No vault/DMS integration (Confluence, SharePoint, Obsidian)
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- No version control for document artifacts
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- Markup generation is often boilerplate-heavy (needs template library)
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**Recommendation:** ⚠️ **REFACTOR HEAVILY** — Abstract document generation into a plugin architecture; keep task orchestration logic.
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---
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### 9. **Expert Quality & Review Stage****APPLICABLE**
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**Purpose:** SME validation & quality check
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**Stage Lead:** `expert_quality_stage_lead`
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**Task Agents:**
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- `swotanalysis-agent` — Strengths, weaknesses, opportunities, threats
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- `expertreview-agent` — Subject matter expert sign-off
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- `premiseattack-agent` — Challenge assumptions
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- `premortem-agent` — Pre-flight risk review
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- `questionsandanswers-agent` — FAQ compilation
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**Applicability:** Expert review is timeless. **Updates:**
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- Expert rosters (who qualifies as SME? update org taxonomy)
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- Review rubric/scoring (modernize against PMBOK 7 / PRINCE2 Agile)
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- Premortem template (add psychological safety guardrails)
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**Recommendation:****KEEP & ENHANCE** — Add 360-review feedback loops.
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---
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### 10. **Governance & Compliance Stage****NEEDS ARCHITECTURE SYNC** ⚠️
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**Purpose:** Define governance structure & decision authorities
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**Stage Lead:** `governance_stage_lead`
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**Task Agents (6 phases):**
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1. `governancephase1audit-agent` — Current state audit
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2. `governancephase2bodies-agent` — Define committees & roles
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3. `governancephase3implplan-agent` — Implementation roadmap
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4. `governancephase4decisionescalationmatrix-agent` — Authority matrix
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5. `governancephase5monitoringprogress-agent` — KPI framework
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6. `governancephase6extra-agent` — Additional governance needs
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**Applicability:** **CRITICAL REVIEW NEEDED:**
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- Are these governance structures still relevant to PlanExe 2026?
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- Do they conflict with enterprise governance policies?
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- Is the "extra" phase (6) a placeholder or legacy debt?
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**Recommendation:** ⚠️ **REQUIRES STAKEHOLDER REVIEW** — Confirm alignment with PlanExe 2026 governance charter.
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---
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### 11. **Reporting & Synthesis Stage****APPLICABLE WITH MODERNIZATION** ⚠️
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**Purpose:** Generate executive outputs & pitches
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**Stage Lead:** `reporting_stage_lead`
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**Task Agents:**
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- `createpitch-agent` — Executive summary elevator pitch
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- `convertpitchtomarkdown-agent` — Markdown deck gen
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- `executivesummary-agent` — High-level overview
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- `report-agent` — Final comprehensive report
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- `scenariosmarkdown-agent` — Option scenario write-ups
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- `strategicdecisionsmarkdown-agent` — Key decision docs
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- `teammarkdown-agent` — Team roster & bios
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- `consolidateassumptionsmarkdown-agent` — Assumption register
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- `consolidategovernance-agent` — Governance summary
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**Applicability:** **Heavily dependent on output format strategy:**
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- Markdown → PowerPoint decks? (via Marp or Pandoc)
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- Markdown → PDF? (via WeasyPrint/wkhtmltopdf)
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- Markdown → Interactive web? (via Obsidian Publish, Docusaurus)
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- Markdown → Confluence/SharePoint? (via API)
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**Current state:** All generate Markdown. This is **flexible but needs binding layers**.
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**Recommendation:** ⚠️ **KEEP LOGIC, REFACTOR OUTPUT** — Decouple markdown generation from presentation format. Use template system (Jinja2 or handlebars) for format independence.
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---
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## Cross-Cutting Observations
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### ✅ Strengths of the Luigi Pipeline
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1. **Modular design** — Each agent is independently testable and replaceable
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2. **Clear naming conventions** — Self-documenting task IDs (e.g., `luigi-createwbslevel1`)
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3. **Stage-lead pattern** — Clean orchestration hierarchy (reduces orchestration complexity)
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4. **Comprehensive coverage** — Touches all major planning dimensions (risk, team, scope, schedule)
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5. **Tool abstraction** — Already uses tool-based architecture (spawn_agents, read_files, think_deeply)
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### ⚠️ Modernization Gaps
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1. **No async/parallel execution** — Luigi may serialize tasks that could run in parallel (WBS + Schedule)
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2. **Output format lock-in** — Heavy reliance on Markdown; no structured data interchange
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3. **Missing integrations** — No native HRIS, PMO, or ERP hooks
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4. **Error handling** — Limited retry logic or fallback strategies
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5. **Feedback loops** — Mostly one-pass planning; limited iterative refinement
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6. **AI model drift** — Hard-coded to GPT-5; needs version negotiation layer
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---
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## Applicability Matrix
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| Agent Category | Count | Still Applicable? | Effort to Migrate |
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|---|---|---|---|
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| Stage Leads | 11 | ✅ 90% | Medium |
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| Core Planning (WBS, Schedule, Risk) | 20 | ✅ 95% | Low–Medium |
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| Team & Context | 10 | ✅ 90% | Medium |
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| Documentation & Output | 17 | ⚠️ 60% | High (format abstraction) |
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| Governance & Gates | 8 | ⚠️ 70% | High (policy alignment) |
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| **TOTAL** | **73** | **~80% Core Logic Reusable** | **Medium effort overall** |
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---
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## Recommendations by Priority
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### 🔴 **P1: Immediate Assessment Needed**
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- [ ] **Analysis & Gating Stage** — Confirm PlanExe 2026 approval workflow
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- [ ] **Governance Stage** — Align with enterprise governance charter
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- [ ] **Output Format Strategy** — Define target formats for reporting (PowerPoint, PDF, web, etc.)
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### 🟡 **P2: Design-Phase Updates**
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- [ ] **Risk stage** — Update threat taxonomy (add STRIDE, Zero Trust risk factors)
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- [ ] **WBS stage** — Add Bayesian estimation & schedule risk analysis
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- [ ] **Documentation stage** — Build template system & vault integration
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- [ ] **Team stage** — Wire to enterprise HRIS (Workday, SAP SuccessFactors, etc.)
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### 🟢 **P3: Implementation-Phase Refactoring**
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- [ ] **Output generation** — Decouple markdown from presentation formats
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- [ ] **Error handling** — Add retry policies & escalation chains
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- [ ] **Parallel execution** — Enable concurrent stage execution where safe
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- [ ] **Feedback loops** — Support iterative plan refinement (not just one-pass)
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---
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## File Inventory
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**Stage Leads (11):**
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- `analysis_stage_lead.ts`
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- `context_stage_lead.ts`
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- `documentation_stage_lead.ts`
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- `expert_quality_stage_lead.ts`
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- `governance_stage_lead.ts`
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- `plan_foundation_stage_lead.ts`
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- `reporting_stage_lead.ts`
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- `risk_assumptions_stage_lead.ts`
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- `strategy_stage_lead.ts`
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- `team_stage_lead.ts`
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- `wbs_schedule_stage_lead.ts`
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**Task Agents (62):**
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- Plan Foundation: preprojectassessment, projectplan, relatedresources
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- Risk & Assumptions: identifyrisks, makeassumptions, distillassumptions, reviewassumptions
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- Strategy: candidatescenarios, selectscenario, potentiallevers, deduplicatelevers, enrichlevers, focusonvitalfewlevers
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- Team: findteammembers, enrichteammemberswithbackgroundstory, enrichteammemberswithcontracttype, enrichteammemberswithenvironmentinfo
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- Context: physicallocations, currencystrategy
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- WBS/Schedule: createwbslevel1, createwbslevel2, createwbslevel3, estimatetaskdurations, createschedule, identifytaskdependencies, wbsprojectlevel1andlevel2, wbsprojectlevel1andlevel2andlevel3
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- Analysis/Gating: setup, starttime, redlinegate
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- Documentation: datacollection, identifydocuments, filterdocumentstofind, draftdocumentstofind, filterdocumentstocreate, draftdocumentstocreate, markdownwithdocumentstocreateandfind
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- Expert Review: swotanalysis, expertreview, premiseattack, premortem, questionsandanswers
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- Governance: governancephase1audit, governancephase2bodies, governancephase3implplan, governancephase4decisionescalationmatrix, governancephase5monitoringprogress, governancephase6extra
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- Reporting: createpitch, convertpitchtomarkdown, executivesummary, report, scenariosmarkdown, strategicdecisionsmarkdown, teammarkdown, consolidateassumptionsmarkdown, consolidategovernance
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---
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## Conclusion
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The Luigi pipeline agents represent a **solid foundation** for PlanExe 2026's planning orchestration. **80% of the core logic is reusable** with focused API and format updates. The remaining 20% requires architectural alignment (governance, gates, output formats).
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**Next Steps:**
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1. Confirm PlanExe 2026 governance & approval workflow (needed for Analysis & Gating, Governance stages)
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2. Define output format strategy (Markdown → PowerPoint/PDF/web/Confluence)
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3. Prioritize integration with enterprise systems (HRIS, PMO, ERP)
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4. Schedule refactoring sprints for P2 & P3 items above
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---
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**Review Status:** ✅ Complete
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**Last Updated:** 2026-02-20T18:17Z
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**Next Review:** Post-implementation (post-plan agent swarm launch)
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/**
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* Author: Codex using GPT-5
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* Date: 2025-09-30T15:30:00Z
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* PURPOSE: Stage lead agent orchestrating a cluster of Luigi pipeline tasks.
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* SRP and DRY check: Pass. Each file focuses on one stage lead definition without redundancy.
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*/
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import type { AgentDefinition } from '../types/agent-definition'
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const definition: AgentDefinition = {
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id: 'analysis-stage-lead',
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displayName: 'Analysis & Gating Stage Lead',
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model: 'openai/gpt-5',
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toolNames: ['spawn_agents', 'read_files', 'think_deeply', 'end_turn'],
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spawnableAgents: ['luigi-starttime', 'luigi-setup', 'luigi-redlinegate', 'luigi-premiseattack', 'luigi-identifypurpose', 'luigi-plantype', 'codebuff/file-explorer@0.0.6', 'codebuff/researcher-grok-4-fast@0.0.3'],
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includeMessageHistory: true,
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instructionsPrompt: `You coordinate the Analysis & Gating Stage Lead within the PlanExe Luigi pipeline.
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Purpose: Ensure the pipeline has a safe, well-understood starting point before strategic exploration begins.
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Responsibilities:
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- Sequence StartTime, Setup, Redline Gate, Premise Attack, Identify Purpose, and Plan Type agents.
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- Double-check gating outcomes and escalate blockers early.
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- Summarize validated mission context for downstream leads.
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Workflow expectations:
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- Confirm prerequisites before spawning task agents.
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- Issue clear prompts and pass along consolidated briefs.
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- Apply Anthropic/OpenAI agent best practices: plan-first, double-check critical data, escalate ambiguity, and keep communications crisp.
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- Summarize stage status and outstanding risks for the master orchestrator.`,
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}
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export default definition
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/**
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* Author: Codex using GPT-5
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* Date: 2025-09-30T15:30:00Z
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* PURPOSE: Agent definition supporting Luigi pipeline task orchestration for PlanExe stage conversions.
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* SRP and DRY check: Pass. Each file isolates one agent definition without duplicating existing agents.
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*/
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import type { AgentDefinition } from '../types/agent-definition'
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const definition: AgentDefinition = {
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id: 'luigi-candidatescenarios',
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displayName: 'Luigi Candidate Scenarios Agent',
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model: 'openai/gpt-5-mini',
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toolNames: ['read_files', 'think_deeply', 'end_turn'],
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instructionsPrompt: `You own the CandidateScenariosTask step inside the Luigi pipeline.
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- Stage: Strategic Lever Development (Shape strategic levers and scenarios that drive how the plan tackles the mission.)
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- Objective: Draft multiple candidate scenarios leveraging prioritized levers to cover plan uncertainty.
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- Key inputs: Vital lever shortlist, decision markdown, risk appetite signals.
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- Expected outputs: Scenario summaries with key moves, triggers, and success signals.
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- Handoff: Submit scenario slate to SelectScenarioTask for evaluation and scoring.
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Follow modern Anthropic/OpenAI agent practices: confirm instructions, reason step-by-step, surface uncertainties, and produce concise briefings for strategy-stage-lead.`,
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includeMessageHistory: false,
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}
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export default definition

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