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skill-update

Skill creation, update and management — generates skill directory structure, validates against best practices, enforces line count limits. Use when creating, updating, or improving skills.

معلومات المصدر

المستودع
transilienceai/communitytools
آخر نشاط في المصدر
٢٨ يوليو ٢٠٢٦ في ٠٩:٥٣
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٥٦٠
التفرعات
٨٠

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

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عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
skill-update
description
Skill creation, update and management — generates skill directory structure, validates against best practices, enforces line count limits. Use when creating, updating, or improving skills.
model
opus
# Skill Update Generate or refine Claude Code skills following Anthropic best practices. ## Hard caps (enforced by `scripts/skill_linter.py`) - `SKILL.md` ≤ 150 lines - `reference/*.md` ≤ 200 lines (`reference/scenarios/*.md` ≤ 400 lines) - `README.md` ≤ 100 lines - Every `SKILL.md` has YAML frontmatter with `name` + `description` - No `DO NOT` / `MUST NOT` / `NEVER` outside an `## Anti-Patterns` section - No challenge-specific identifiers (machine names, lab IDs, lab IPs, preserved flags) - Every Markdown link resolves to an existing file - Every reference file is linked from at least one other file (no orphans) ## Principles - **Brevity first.** Every file short, simple, human-readable. Challenge every token. - **Progressive disclosure.** SKILL.md navigates; `reference/` holds detail; `reference/scenarios/` holds concrete exploit flows. - **Separation of concern.** SKILL.md = WHAT + when. `reference/role-*.md` = HOW agents behave when spawned. - **Single canonical home** for any cross-cutting rule (output discipline, credential loading, brute-force, etc.). Other files reference, never restate. ## File structure ``` skills/<skill-name>/ ├── SKILL.md # ≤150 lines, YAML + navigation ├── reference/ │ ├── *-principles.md # ≤150 lines (decision tree) │ ├── INDEX.md │ ├── *.md # patterns, ≤200 lines │ └── scenarios/ │ └── <category>/ │ └── *.md # ≤400 lines, self-contained └── README.md # optional, ≤100 lines ``` ## SKILL.md template ```yaml --- name: <skill-name> description: What it does AND when to use. Include trigger phrases. --- # <Skill Name> <one-paragraph scope> ## When to use - <bullet> ## Workflow / Quick start <≤30 lines> ## References - [reference/...](reference/...) ## Anti-Patterns - <when negative framing is genuinely needed, put it here> ``` ## Run it The procedure is a workflow — every step is code-enforced, so none can be skipped. ``` Workflow('skill-update', { output_dir: 'projects/<engagement>' }) // harvest an engagement Workflow('skill-update', { learnings: [{ text, technique_type }] }) // judge a known set Workflow('skill-update', { mode: 'audit' }) // read-only, writes nothing ``` Add `dryRun: true` to see the write plan without writing. Parent-orchestrator only. **Phases.** Intake (baseline `skill_linter.py --json`) → Harvest (reframe learnings) → Judge (four gates + blind refuters) → Route (author the block) → Write (persist verbatim) → Sweep (confidentiality guard) → Verify (linter **delta**, not an absolute clean tree — the base carries pre-existing violations). Every promote/reject/write decision is pure JS in `.claude/workflows/lib/wf-helpers.mjs` (`promotionGate`, `capBudget`, `writeGate`, `lintDelta`, `skillUpdateGate`). No agent decides whether a learning is promoted or a write is allowed. ## The four-gate promotion test Process the techniques and failure modes from completed engagements. Promote a learning to the skill base only if **all four** hold: 1. **Generalizable.** Reusable pattern, not target-specific lore. No machine names, lab IDs, target IPs, preserved flags, writeup attributions. 2. **Material improvement.** Adds coverage, efficiency, or decision-quality for future engagements. 3. **Not already captured** elsewhere in the skill base. (`scripts/skill_linter.py` flags duplicates.) 4. **Minimal footprint.** Prefer extending an existing entry over adding a new file. Keep the base lean and high-signal. ## Reframing recipe Always frame as a reusable pattern: *"when encountering X condition, try Y approach"* — never *"on box-N, Y worked"*. Use `<TARGET_IP>`, `<DC_FQDN>`, `<DOMAIN>` placeholders in tool examples. ## Output Three buckets, built in code so a run cannot claim an edit it did not make: **Updated.** / **Skipped.** (with the gate that failed) / **No changes.** ## Reference - [STRUCTURE.md](reference/STRUCTURE.md) — directory layout requirements. - [FRONTMATTER.md](reference/FRONTMATTER.md) — YAML rules. - [CONTENT.md](reference/CONTENT.md) — writing guidelines. - [ROUTING.md](reference/ROUTING.md) — technique type → target file. ## Anti-Patterns - Creating CHANGELOG.md / SUMMARY.md / VERIFICATION.md auxiliary files. - Meta-documentation about the creation process inside the skill itself. - Verbose inline templates and examples (link to `reference/` instead). - Re-introducing duplicate rule prose (brute-force, output-dir, env-reader). - Files past their cap — split into `reference/` immediately.
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