Create a Tier 1 orchestrator skill that coordinates parallel research agents to scan the AI tool landscape, evaluate tools against workflow gaps using a weighted scoring framework with sensitivity analysis, and produce a prioritized integration roadmap.
Scanned 9/6/2026
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# Create ai-strategist Orchestrator Skill
## Date
2026-02-07
## Objective
Create a Tier 1 orchestrator skill that coordinates parallel research agents to scan the AI tool landscape, evaluate tools against workflow gaps using a weighted scoring framework with sensitivity analysis, and produce a prioritized integration roadmap.
## Changes
### Files Created (10 files)
1. `claude-config/skills/ai-strategist/SKILL.md` -- Primary orchestrator skill (405 lines)
- YAML frontmatter with handoff schema (protocol v2.0)
- Delegation mandate, anti-resistance table, tool selection
- 3 invocation modes: quarterly, deep-dive, event-triggered
- Pre-flight validation for 5 required + 1 optional skill
- 7-phase pipeline (Phase 0-6): archival, scope, parallel research, assessment, roadmap, review, editorial
- Consolidated quality gate table with quality floor and override protocol
- RACI matrix for 7 activities across 7 roles
- Saga-style error handling with circuit breaker and graceful cancellation
- Inter-phase status reporting with Phase 2 live status board
2. `claude-config/skills/ai-strategist/references/scoring-matrix.md` -- Weighted scoring framework
- 3 dimensions: integration feasibility (40%), gap coverage (35%), cost (25%)
- Detailed 5-level rubrics for each dimension
- Composite formula and sensitivity analysis protocol (4 weight configurations)
- Per-gap champion analysis and differentiation check
- Technology Radar ring mapping (optional)
3. `claude-config/skills/ai-strategist/references/tool-taxonomy.md` -- Two-dimensional AI tool classification
- Functional categories: MCP Servers, AI Frameworks, Scientific Tools, Workflow Patterns
- Maturity levels: Adopt, Trial, Assess, Hold
- Gap-category mapping and seed tools per category
4. `claude-config/skills/ai-strategist/references/agent-prompts.md` -- Domain-specific Phase 2 prompts
- Agent 1: MCP Servers (WebSearch-first, no PubMed)
- Agent 2: AI Frameworks (WebSearch-first, no PubMed)
- Agent 3: Scientific Tools (PubMed + WebSearch)
- Agent 4: Community Patterns (WebSearch-first, no PubMed)
5. `claude-config/skills/ai-strategist/references/error-handling.md` -- Error handling protocols
- Saga-style compensation table
- Circuit breaker pattern
- Graceful cancellation protocol
- Atomic state writes
- State recovery protocol (--resume)
- Global timeout handling
6. `claude-config/skills/ai-strategist/references/session-structure.md` -- Session directory tree
7. `claude-config/skills/ai-strategist/references/timeout-config.md` -- Per-phase and mode-specific timeouts
8. `claude-config/skills/ai-strategist/references/handoff-schema.md` -- Inter-phase and inter-skill handoff schemas
9. `claude-config/skills/ai-strategist/references/deliverable-template.md` -- Final deliverable structure template
10. `claude-config/skills/ai-strategist/examples/quarterly-scan-example.md` -- Complete walkthrough of a quarterly scan
## Testing
- YAML frontmatter validates (name, description, handoff schema)
- SKILL.md: 405 lines, 2871 words (target: 400-500 lines)
- All 8 reference files present
- Example file present
- No hardcoded user paths found
- Zero occurrences of MUST/NEVER/ALWAYS (threshold: <10)
- Description starts with "Use when..." (no CSO anti-pattern)
- Dry-run sync shows correct 10 files
- Actual sync successful for all 10 ai-strategist files
- Smoke test: 5 skills load correctly (no regressions)
## Outcome
Success. All files created, validated, synced, and committed.
## Analysis Reports Used
- best-practices-review.md: APPROVED with no critical blocking issues
- external-research.md: Sensitivity analysis as #1 recommendation
- edge-cases.md: 22 edge cases identified, 3 critical, 6 important
- knowledge-engineering.md: Structural completeness analysis with targeted gap-filling
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