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wiki-init

One-time, guided setup of a standalone LLM-maintained wiki — a Karpathy "LLM Wiki" style knowledge base for a problem domain and your general architecture best practices. Scaffolds an external wiki vault (its own git repo) with /ingest, /query, /lint commands and a conventions doc. Use when a developer wants to start, create, bootstrap, or initialize a wiki / second-brain / knowledge base to understand a problem space before building. The front of the Human Loop's Understanding phase.

74

Quality

93%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is wiki-init in tdg-ninja/context-specs-factory-ai

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-engineered instruction skill: a concrete, gated six-step flow with real safeguards against clobbering, disciplined reference usage verified against the actual bundle, and near-complete actionability. The only improvement area is trimming repetition of the external-repo rule and moving some pattern backstory into the existing reference file.

DimensionReasoningScore

Conciseness

The body is dense and operational — the P1–P8 philosophy items each drive behavior and it explicitly says "Don't recite these — embody them". However, the never-write-into-the-app-codebase rule is repeated in four places (Preconditions, Step 0, Invocation & output contract, Hard nevers), and background passages like "The bookkeeping that makes humans abandon wikis... is exactly what an LLM is good at" could be trimmed into the reference file. Mostly efficient with minor over-explanation, matching anchor 4 rather than 5.

4 / 5

Actionability

For an instruction-only skill the guidance is fully executable: an exact directory tree ("wiki/{concepts,entities,workflows,sources,indexes,inbox}/", "_meta/ingest-log.md"), per-step interview questions with concrete examples ("SNF survey readiness", "event-driven backend architecture"), exact file provenance ("render assets/WIKI-CONVENTIONS.md.template", commands "from assets/commands/"), and exact command forms ("/ingest <path-or-url>", "/query \"<question>\""). Per the scoring notes, absence of code is not penalized when guidance is this actionable.

5 / 5

Workflow Clarity

Steps 0–5 are clearly sequenced with explicit validation checkpoints: the explain→confirm→act→feedback loop is stated up front, Step 2 says "Stop and wait for approval, unless --yolo was passed", Step 4 says "Confirm with the user before committing", and the plan-pass has a loop ("Apply edits, re-emit, loop until approved"). Risky operations (targeting an existing path) are guarded by refuse-to-clobber and the diff-based re-run procedure — feedback loops are present, matching anchor 5.

5 / 5

Progressive Disclosure

Structure matches anchor 5: three one-level-deep references, each existing in the bundle and each loaded at the point of need (two "Read first, before talking to the user"; "load references/domain-discovery.md when you reach Step 1"), with stated purpose for each ("so you can explain what an LLM Wiki is", "the disciplines nothing you scaffold may drop"). Bulk material is appropriately split into assets/ templates and command files, keeping SKILL.md a navigable overview.

5 / 5

Total

19

/

20

Passed

Description

91%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: explicit what-and-when structure, rich natural-language trigger synonyms, and a clearly differentiated niche. The only weak spots are minor — the trigger nouns overlap slightly with generic knowledge-base skills, and a few scaffold artifacts go unmentioned.

DimensionReasoningScore

Specificity

"Scaffolds an external wiki vault (its own git repo) with /ingest, /query, /lint commands and a conventions doc" lists several concrete actions with named specifics. It is above level 3 (more than 1-2 actions, with structural detail like "its own git repo") but below level 5 because parts of the scaffold (git init/first commit, seeded MOC, README) are not named in the description.

4 / 5

Completeness

It explicitly answers both questions: what ("One-time, guided setup of a standalone LLM-maintained wiki... Scaffolds an external wiki vault") and when ("Use when a developer wants to start, create, bootstrap, or initialize a wiki...") with concrete trigger phrases. This matches the anchor-5 example pattern exactly.

5 / 5

Trigger Term Quality

"Use when a developer wants to start, create, bootstrap, or initialize a wiki / second-brain / knowledge base" covers comprehensive verb synonyms (start/create/bootstrap/initialize) and noun synonyms (wiki/second-brain/knowledge base) a user would naturally say. There are no file-extension terms to include for this kind of skill, so coverage is essentially complete.

5 / 5

Distinctiveness Conflict Risk

The niche is mostly distinct ("LLM-maintained wiki", "Karpathy 'LLM Wiki' style", one-time scaffolding with named commands), but the trigger nouns "wiki / second-brain / knowledge base" carry minor overlap risk with generic note-taking or PKM-adjacent skills, so it is not a clear-cut 5.

4 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
tdg-ninja/context-specs-claude-code
Reviewed

Table of Contents

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