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skill-discovery

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Aktualisiert30. Mai 2026 um 14:54

Build a lightweight skill index and load full skill instructions only on demand to reduce startup context pressure.

Installation

Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.

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Quelle

tuanle96

tuanle96/zca-rust

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

Datei-Explorer

3 Dateien

SKILL.md

readonly

name	skill-discovery
description	Build a lightweight skill index and load full skill instructions only on demand to reduce startup context pressure.
allowed-tools	Read, Bash(node .harness/scripts/skill-discovery.mjs:), Bash(node .harness/scripts/skill-load.mjs:)
suggested-turns	4

Skill Discovery / On-Demand Loading

Generates .harness/skill-index.json from skill frontmatter so agents can discover commands without loading every full SKILL.md.

Commands

node .harness/scripts/skill-discovery.mjs
node .harness/scripts/skill-load.mjs create-story

Output contract

### Skill index
### Skills indexed: <n>
### Full skill loaded: <name or n/a>

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add-adr

tuanle96/zca-rust

Use this skill whenever a decision is made about architecture, dependencies, frameworks, naming conventions, or layer order. Creates a numbered ADR (Architecture Decision Record) in `.harness/docs/adr/` in the canonical Nygard format. Always invoke this before changing layer order, adding a layer, swapping a major dependency, or introducing a new external service.

2026-05-302

add-feature

tuanle96/zca-rust

Use this skill whenever the user asks to add, implement, or build a new feature, capability, endpoint, page, command, or anything user-visible. Enforces the Anthropic two-fold harness pattern — read .harness/feature_list.json, pick exactly one feature, implement incrementally, run the structural test on every save, and never declare "done" without updating the JSON. Always invoke this skill instead of writing new feature code freehand.

2026-05-302

debug-flow

tuanle96/zca-rust

Use this skill whenever the user reports a bug, unexpected output, or "this doesn't work". Runs the dev server, drives the failing flow via Playwright MCP if installed (else captures stdout/stderr), and produces a minimal repro before any fix. Mirrors the OpenAI Chrome-DevTools-Protocol-into-runtime pattern at solo scale — verify the failure before you propose a fix.

2026-05-302

deliver-html

tuanle96/zca-rust

Use this skill whenever the user asks to analyze, audit, review, summarize, produce a report, write a plan, make a proposal, draft a decision doc, list "next actions", or any other task that produces a DOCUMENT a HUMAN reads-and-acts-on. Outputs a self-contained <slug>.html at repo root using the shared dark-theme CSS. Why HTML and not Markdown: golden principle #9 — Markdown is great for files an agent reads-and-edits (CLAUDE.md, SKILL.md, ADRs), but a HUMAN reading a 700-line MD deliverable will scroll, miss the conclusion, and ask the agent to clarify — burning turns and tokens. HTML deliverable is read once, decided once. Do NOT use this skill for files the agent itself reads (those stay MD), for stdout output from /review-this-pr or /garbage-collection (pass-through MD), or for short summaries under ~30 lines (overhead not worth it).

2026-05-302

doc-drift-scan

tuanle96/zca-rust

Use this skill weekly, before releases, or when the user mentions "stale docs", "doc drift", "docs are wrong", or "the README is out of date". Cross-checks every code path, file path, and command referenced in `.harness/docs/` and `CLAUDE.md` against the current repo state and produces a list of stale references — the doc-gardening agent pattern.

2026-05-302

eval-runner

tuanle96/zca-rust

Use this skill whenever a skill, subagent, or hook is changed, before merging to main, or when the user mentions "eval", "regression test for the harness", or "is the harness still working". This skill is a thin wrapper — it runs a single shell command (`npm run harness:eval` or `python -m harness.eval_runner`) and summarizes the JSONL output. Do not implement the eval logic yourself; the runner is already deterministic.

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