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will-wright-eng/skills

will-wright-eng/skills

Agent skills for Claude Code and other coding agents: design review, ADRs, refactoring, and autoresearch loops
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0 ★ · will-wright-eng/skills · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
收录与活跃
收录于 2026-10-13 · 最近见到 2026-10-16 · 共见到 5 次 · 被 1 个来源列出
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综合分 103 · 1 个来源 · repo
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: Agent 技能。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 will-wright-eng/skills;我们收录于 2026-10-13;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

will-wright-eng skills

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Browse this collection on skills.sh, including per-skill security audits.
Install
This command uses the vercel-labs/skills CLI to implement skills in this repo.
Update
Updates all installed skills; pass a name to update one (bunx skills update design-readiness). The CLI has no version pinning — update re-fetches whatever is at the head of each source repo — so review the diff after updating.
Skill Self-Containment
Every skill in this repo installs standalone. Cross-skill file references (../other-skill/DOC.md) are an antipattern: the skills CLI installs skills individually (--skill , skills use, direct skill URLs) with no dependency resolution, so a link into a sibling skill directory dangles unless the whole repo happens to be installed. Shared docs are instead vendored into each skill that needs them, marked with a provenance comment ( ). Vendored copies are updated by re-copying their source, never by editing in place.
Security Scanning
Pull requests that add or modify a skill run cisco-ai-skill-scanner over the changed skills in static mode (YAML/YARA rules plus behavioral dataflow, no LLM). The scan workflow posts the results as a PR comment and fails on HIGH or CRITICAL findings. bash scripts/scan_skills.sh [skill...] reproduces the scan locally; the policy is scripts/skill-scanner-policy.yaml. Static rules miss semantic risks such as the indirect-prompt-injection exposure the skills.sh audits flag, so treat a clean scan as a floor, not a verdict.
Original Skills
Autoresearch
Three sequential skills for adding a verifiable autonomous experiment loop to a git repository, generalized from karpathy/autoresearch.
After install, invoke them in order: autoresearch-method → autoresearch-verify → autoresearch-program. Once program.md is generated, hand it to a fresh agent session and the loop runs from there.
| Skill | Purpose |
| --- | --- |
| autoresearch-method | Explain the methodology and evaluate whether the current repo is a good fit. |
| autoresearch-verify | Build a repo-specific verifier script with light (per-candidate metric) and heavy (integrity matrix) modes. |
| autoresearch-program | Generate program.md at the repo root — the operating directive a fresh agent session uses to run the loop. |
Design & Documentation
Self-contained skills covering the design-doc lifecycle: verify a design before building, distill what was built into ADRs, and keep the domain glossary sharp. Each writes only on explicit confirmation.
| Skill | Purpose |
| --- | --- |
| design-readiness | Audit a design/implementation/proposal doc for consistency with the codebase, ADRs, and CONTEXT.md, plus completeness of definition, then interview through drift fixes and open design decisions — interview answers are the approval, so the revised doc is applied once findings are resolved. |
| distill-adrs | Distill existing implementation docs (plans, design docs, RFCs) into ADRs — extracts candidate decisions, verifies each against the code, and confirms them one at a time before writing. |
| create-context | Build or refine a CONTEXT.md glossary — explores the codebase for candidate domain terms, then confirms each term, relationship, and ambiguity one at a time before writing. |
Refactoring
| Skill | Purpose |
| --- | --- |
| anneal | Carve a god module into stable and volatile pieces along evidence from git history — hotspot ranking via the hc CLI (raw-git fallback when absent), a three-axis autopsy of the target file, a seam-by-seam interview, and a strangler-fig migration plan with a measurable baseline. |
| prune-comments | Aggressively delete comment narration that restates the code — including "pseudo-why" comments whose reason is already visible and step-heading comments over blocks — and condense verbose why-comments and doc comments to terse technical language; doubt resolves toward deletion. Scoped to the diff against a base branch by default (path sweep on request), optionally driven under a target comment ratio, never touching semantic comments (directives, pragmas, license headers) or genuine why-comments, and modifying comments only: never code, never markdown. |
来源
github · https://github.com/will-wright-eng/skills
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