filip-podstavec/claude-leverage/conventions-init

Claude Code and agent skill by filip-podstavec/claude-leverage

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Checking that the SKILL.md file is still in the repository.

USE WHEN setting up a repo for AI-first work (after /init-repo), or when the context-surface hook should start feeding repo conventions to agents before edits. Drafts `conventions.yml` at repo root: per-kind casing (inferred from the code), a vague-name denylist seed, directory roles, and a hand-filled house-rules block. Idempotent — never overwrites a populated file; re-running prints suggested additions for manual merge. Read-only on code; never invents house rules. After writing, run /refresh-context-map so the hook picks it up.

Install

npx vskill@latest install filip-podstavec/claude-leverage/conventions-init

SKILL.md

/conventions-init

What it does

Bootstraps conventions.yml at the repo root — the profile the context-surface hook surfaces to an agent before it edits a source file (casing rules, a vague-name denylist, directory roles, and divergent house rules the model cannot infer). Block-style YAML only, so the stdlib fallback parser stays reliable.

It infers the mechanical parts (casing, structure) and asks the user for the house rules — it never invents a convention the repo does not actually hold.

When to invoke

  • Setting up an AI-first repo, after /init-repo.
  • When you want the plugin to start steering on this repo (no conventions.yml

yet means the whole steering loop is a no-op).

Do NOT invoke for: per-function docs (those are docstrings), or to auto-write house rules the team has not agreed on.

Workflow

  1. Resolve repo root (git rev-parse --show-toplevel); if not a repo, STOP

and suggest git init / /init-repo.

  1. Detect mode. If conventions.yml is absent, bootstrap. If it exists, do

NOT rewrite it (stdlib YAML loses the human-written consistency comments); instead print the suggested draft below and tell the user to merge by hand.

  1. Infer casing. Run python scripts/score_adherence.py --repo . if the

plugin's scorer is available, and read metrics.casing_consistency.by_kind[*] .dominant for functions / types / constants. Python-first: if there are no .py files (or the scorer is absent), leave casing values blank with a comment for the user — never guess from an unsupported language.

  1. Seed structure roots. List top-level + recognized source dirs (src/,

lib/, app/, scripts/, tests/, …) that exist; write each as a root key with a blank role string for the user to fill.

  1. Seed the denylist from the documented defaults (data, result, tmp,

handle, process); the user can extend.

  1. Leave `consistency` as a commented template — house rules are the user's

to write (same "never invent" rule as glossary-init).

  1. Write `conventions.yml` (bootstrap mode) with the schema_version "1.x"

comment, block-style. In existing-file mode, print the draft instead.

  1. Remind the user to run /refresh-context-map so the manifest (and thus the

hook) picks up the new conventions, and offer a one-line AGENTS.md pointer.

  1. Report the path and which fields were inferred vs left for the user.

Hard rules

  • Never invent house rules. The consistency block is the user's; the skill

only scaffolds it.

  • Never overwrite a populated `conventions.yml`. Existing-file mode prints

suggestions for manual merge (preserves the user's comments).

  • Never block. Discoverability skill; advisory if the user declines.
  • Block-style YAML only (no inline braces or brackets) — keeps the stdlib

fallback parser reliable.

  • Python-first casing. Do not infer casing from unsupported languages; leave

it blank for the user.

Tunables

  • --noninteractive — write the inferred skeleton with blank roles and a

commented consistency block, no prompts.

What this skill does NOT do

  • Auto-write house rules or invent conventions the repo does not hold.
  • Rebuild the context-map manifest — that is /refresh-context-map.
  • Score or lint code — that is score_adherence.py / /repo-doctor.

Codex parity

Same SKILL.md ships in Codex via scripts/install-codex.sh. No tool-specific divergence.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
64
Repository forks
2
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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