# Full Repository Review

> **Audit Date**: 2026-06-14
> **Audited By**: Strategic Review Process
> **Scope**: All of SamoTech/skills-tree
> **Type**: Strategic, Architectural, and Execution Audit — NOT a code audit.

---

## PART 1: META FOLDER AUDIT

| Document | Purpose | Status | Relevant? | Superseded? | Duplicate? | Action | Class |
|---|---|---|---|---|---|---|---|
| AGENT_ARCHITECT_VISION.md | Vision doc for the Agent Architect product | Active | Yes | No | No | None | ACTIVE |
| AGENT_SKILL_ARCHITECT_MVP.md | MVP spec for Agent Skill Architect (T-05) | Active | Yes | No | No | None | ACTIVE |
| ARCHITECTURE_OUTPUT_SCHEMA.md | Canonical output contract (N-05) | Active | Yes | No | No | None | ACTIVE |
| ARCHITECT_DATA_CONTRACT_AUDIT.md | Audit of data contract integrity | Active | Yes | No | No | None | ACTIVE |
| CHANGELOG.md | Release history | Active | Yes | No | No | Keep updated | REFERENCE |
| CHATGPT_DECISION.md | Strategic decision summary for AI assistants | Reference | Partially | No | No | Review scope | REFERENCE |
| EXECUTION_PRIORITY_MATRIX.md | ROI-ordered task execution list | Active | Yes | No | No | Keep updated | ACTIVE |
| GOAL_TAXONOMY.md | Goal-to-intent taxonomy (N-02) | Active | Yes | No | No | None | ACTIVE |
| GRAPH_QUERY_LOGIC_SPEC.md | Graph reasoning layer spec (N-04) | Active | Yes | No | No | None | ACTIVE |
| KNOWN-LIMITATIONS.md | Known technical limitations | Reference | Yes | No | No | Needs update (2mo old) | REFERENCE |
| LAUNCH-ANNOUNCEMENT.md | Community launch announcement | Reference | Partly | No | No | Archive post-launch | ARCHIVE |
| LEADERBOARD.md | Auto-updated contributor leaderboard | Active | Yes | No | No | Automation working | REFERENCE |
| MOAT_STRATEGY.md | Competitive moat definition | Active | Yes | No | No | None | ACTIVE |
| OS_MASTER_PLAN.md | Master plan for Skills Tree OS | Active | Yes | No | Overlaps ROADMAP_V2 | Merge with ROADMAP_V2 | ACTIVE |
| QUALITY-REPORT.md | Auto-generated skill quality stats | Active | Yes | No | No | Automation working | REFERENCE |
| REALITY_AUDIT.md | Reconciliation of planned vs actual | Active | Yes | No | No | None | ACTIVE |
| RECOMMENDATION_ENGINE_SPEC.md | Recommendation engine logic (N-03) | Active | Yes | No | No | None | ACTIVE |
| RECOMMENDATION_SIMULATION.md | Validation of recommendation logic (N-04) | Active | Yes | No | No | None | ACTIVE |
| ROADMAP.md | Original roadmap | Reference | Partly | Yes (by ROADMAP_V2) | Partially | Superseded by V2 | ARCHIVE |
| ROADMAP_V2.md | ROI-ordered 14-task execution roadmap | Active | Yes | No | No | None | ACTIVE |
| SECURITY.md | Security policy | Reference | Yes | No | No | None | REFERENCE |
| START-HERE-DISCUSSION.md | Onboarding entry point for new contributors | Reference | Yes | No | No | Keep for community | REFERENCE |
| VALIDATION_REPORT.md | Quality validation report | Reference | Yes | No | No | Needs update | REFERENCE |
| VERSIONING.md | Schema versioning strategy | Reference | Yes | No | No | None | REFERENCE |
| WAVE_0_COMPLETION.md | Wave 0 milestone completion record | Reference | Yes | No | No | Archive after N-10 | ARCHIVE |
| badge-states.md | Badge trust state definitions | Reference | Yes | No | No | None | REFERENCE |
| benchmark-template.md | Template for benchmark files | Reference | Yes | No | No | None | REFERENCE |
| blueprint-template.md | Template for blueprint files | Reference | Yes | No | No | None | REFERENCE |
| frameworks.md | AI framework index | Active | Yes | No | No | Keep updated | ACTIVE |
| glossary.md | Terminology definitions | Reference | Yes | No | No | None | REFERENCE |
| heartbeat.yml | Keepalive automation | Active | Yes | No | No | None | REFERENCE |
| issue-cleanup-log.md | Log of closed duplicate issues | Archive | Partly | No | No | Archive | ARCHIVE |
| skill-schema.json | JSON schema for skill files | Active | Yes | No | No | None | ACTIVE |
| skill-template.md | Template for skill files | Active | Yes | No | No | None | ACTIVE |
| skills-sbom.cdx.json | Software bill of materials | Reference | Yes | No | No | None | REFERENCE |
| system-template.md | Template for system files | Active | Yes | No | No | None | ACTIVE |

---

## PART 2: REPOSITORY AUDIT

### COMPLETE
- `skills/` — 361 skill files present, schema consistent
- `meta/` — Strategic documentation fully established
- `benchmarks/` — memory, reasoning, tool-use categories populated
- `blueprints/` — Several production-ready blueprints present
- `paths/` — Skill learning paths defined
- `.github/workflows/` — CI/CD pipelines, quality reports, heartbeat, release packaging
- `CONTRIBUTING.md` — 5-minute quickstart added
- `README.md` — Rebranded as AI Engineering OS
- `LICENSE`, `SECURITY.md`, `SPONSORS.md` — Governance complete

### PARTIALLY COMPLETE
- `skills/` — 308 of 361 (85%) are stubs (no real examples, I/O, or failure modes)
- `docs/` — GitHub Pages deployed but content depth unclear
- `tools/` — Exists but scope and maturity unknown
- `scripts/` — Automation scripts present but coverage partial
- `tests/` — Exists, recent fixes applied, but full coverage unknown
- `labs/` — Experimental area, no clear completion criteria
- `systems/` — Agent system files added, but completeness unclear

### OBSOLETE
- `meta/ROADMAP.md` — Superseded by ROADMAP_V2
- `meta/LAUNCH-ANNOUNCEMENT.md` — Post-launch artifact
- `meta/issue-cleanup-log.md` — Administrative log with no forward value

### DUPLICATED
- `meta/OS_MASTER_PLAN.md` and `meta/ROADMAP_V2.md` — Partially overlapping scope
- `meta/ROADMAP.md` and `meta/ROADMAP_V2.md` — Direct duplication of intent

### MISSING
- No API layer exists (no REST endpoint, no OpenAPI spec)
- No CLI tool (defined in schema but not built)
- No MCP server implementation
- No graph data file (knowledge graph is conceptual only)
- No recommendation engine implementation (logic defined, not executed)
- No search functionality
- No UI layer for the Agent Skill Architect

---

## PART 3: PRODUCT MATURITY SCORES

| Component | Score | Notes |
|---|---|---|
| Vision | 95/100 | Fully articulated, rebranded as AI Engineering OS |
| Documentation | 78/100 | Rich in meta, thin in operational docs |
| Data Layer | 40/100 | 308/361 skills are stubs |
| Graph Layer | 15/100 | Spec only; no actual graph data or query engine |
| Search | 0/100 | Not implemented |
| Taxonomy | 80/100 | Goal Taxonomy well-defined |
| Recommendation Engine | 20/100 | Spec and simulation done; no working engine |
| Blueprint Engine | 25/100 | Schema defined; no generator |
| CLI | 0/100 | Not built |
| API | 0/100 | Not built |
| MCP | 0/100 | Not built |
| UI | 0/100 | Not built |
| Testing | 30/100 | CI tests present; functional coverage low |
| Automation | 65/100 | Quality reports, heartbeat, leaderboard working |
| Community | 25/100 | 2 stars, 1 fork, 5 contributors, discussions open |
| Distribution | 10/100 | v1.0.0 released, no package, no npm/pip |

---

## PART 4: EXECUTION GAP

### COMPLETED
- Vision document, OS Master Plan, Agent Architect Vision
- README rebrand as AI Engineering OS
- 51 production-ready skills
- CONTRIBUTING.md with quickstart
- CI/CD pipelines (quality reports, heartbeat, leaderboard)
- Goal Taxonomy (N-02)
- Recommendation Engine Spec (N-03)
- Graph Query Logic Spec (N-04)
- Recommendation Simulation (N-04)
- Architecture Output Schema (N-05)
- Blueprint templates, skill templates
- ROADMAP_V2, EXECUTION_PRIORITY_MATRIX
- v1.0.0 GitHub Release
- Moat Strategy
- Reality Audit, Validation Report

### IN PROGRESS
- Filling stub skills (308 remain)
- Community building (discussions active but adoption minimal)
- Documentation depth for `docs/`

### NOT STARTED
- Knowledge graph construction (actual data, not spec)
- Working recommendation engine
- CLI tool
- REST API
- MCP server
- UI / Agent Skill Architect interactive interface
- Search layer
- npm / PyPI package distribution

---

## PART 5: TECHNICAL DEBT

### CRITICAL
- No working recommendation engine — all intelligence specs are theoretical
- No graph data — the graph layer has no actual nodes or edges

### HIGH
- 85% skill stub rate (308/361) — data quality moat is unbuilt
- Main branch is unprotected — force-push risk on production data
- No API — external integrations impossible

### MEDIUM
- `labs/` and `tools/` have unclear ownership and no README
- `KNOWN-LIMITATIONS.md` is 2 months stale
- `docs/` has no visible content depth beyond generated assets
- ROADMAP.md and ROADMAP_V2.md coexist without clear deprecation

### LOW
- LAUNCH-ANNOUNCEMENT.md and WAVE_0_COMPLETION.md should be archived
- CHATGPT_DECISION.md scope is ambiguous (strategy vs. operational?)
- issue-cleanup-log.md has no forward value

---

## PART 6: META DEBT

### OUTDATED PLANS
- `meta/ROADMAP.md` — Superseded by ROADMAP_V2; should be archived

### DUPLICATE PLANS
- `meta/OS_MASTER_PLAN.md` and `meta/ROADMAP_V2.md` — Both define execution direction with overlapping content

### CONTRADICTORY PLANS
- None identified

### DOCUMENTS THAT SHOULD BE MERGED
- `meta/OS_MASTER_PLAN.md` + `meta/ROADMAP_V2.md` → Single authoritative roadmap
- `meta/RECOMMENDATION_ENGINE_SPEC.md` + `meta/GRAPH_QUERY_LOGIC_SPEC.md` → Could become a unified `INTELLIGENCE_LAYER_SPEC.md`

---

## PART 7: CURRENT STATE

**What does Skills Tree actually do today?**

Skills Tree is a structured Markdown repository containing 361 skill definitions across 17 categories for AI agents. Of these, 51 are production-ready with real examples and documented failure modes. The remaining 308 are stubs — they exist as named entries without validated content.

The repository has a working GitHub Pages site, automated CI quality reporting, a contributor leaderboard, and a heartbeat system. It has a detailed strategic plan, a goal taxonomy, intelligence layer specifications, and a published architecture output schema.

It does NOT have a working recommendation engine, a knowledge graph with real data, an API, a CLI, an MCP server, or a UI. All intelligence capabilities are defined on paper only.

In practical terms: Skills Tree today is a curated, high-quality documentation system with a strong strategic foundation. It is not yet an operating system for AI engineering.

---

## PART 8: NEXT MILESTONE

**Single highest-leverage next milestone:**

### N-06: BUILD THE KNOWLEDGE GRAPH DATA FILE

**Why this and not anything else:**
- The graph is the engine room of every downstream system
- Without real node and edge data, the recommendation engine cannot function
- Without the recommendation engine, there is no Agent Skill Architect
- Without the Agent Skill Architect, there is no product — only documentation
- Every N-spec (N-03, N-04, N-05) has been defined. They are all waiting on this one deliverable.

**What it requires:**
- Create `meta/SKILLS_GRAPH.json` or `meta/skills-graph.jsonl`
- Populate it with the 51 production-ready skills as nodes
- Define edges using the 9 edge types from GRAPH_QUERY_LOGIC_SPEC.md
- Connect at minimum: REQUIRES, ALTERNATIVE_TO, LEARN_BEFORE, RECOMMENDED_WITH

**Why now:**
- This is the only remaining prerequisite before the intelligence layer can leave specification mode and enter execution mode

---

## PART 9: FINAL VERDICT

| Dimension | Score | Notes |
|---|---|---|
| Repository Health | 72/100 | Active, clean, well-structured |
| Execution Score | 45/100 | Heavy on spec, light on implementation |
| Vision Score | 95/100 | Clear, differentiated, well-articulated |
| Implementation Score | 22/100 | Only documentation and 51 skills are real |
| Moat Score | 35/100 | Moat strategy defined but data advantage unbuilt |
| Adoption Readiness | 20/100 | Community infrastructure exists, content too thin |
| Sponsor Readiness | 40/100 | Vision strong, working product not yet visible |
| Production Readiness | 10/100 | No API, no CLI, no graph engine, no recommendation system |
| **Overall Grade** | **C+** | **Strong vision. Weak execution. The gap is singular: build the graph data.** |
