Saves a named source to Markdown with provenance and faithful extraction through direct export endpoints. Use when asked to "save this article", "get the markdown", "transcribe this", or "keep this source". A URL supplied as task context alone does not trigger conversion; a chat summary stays in chat.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Write the named source to a .md file, in full, and say where it is. The body comes from the fetched bytes, never from a summary.
.md in the user's tree.A .md exists where the user can open it, with this frontmatter, and reading it back returns the source's last paragraph:
---
title: "<title>"
source: "<URL or path>"
date: "<date -u +%Y-%m-%dT%H:%M:%SZ, run now>"
type: web | youtube | gdoc | sheet | slides | pdf | docx | tweet | conversation
---
Fetch with curl -sSL -o <file> <url> and read the file. Prefer a text endpoint over HTML chrome. A missing file with a named reason (paywall, login wall, bot check, private doc) beats a plausible one.
| File | Read when |
|---|---|
references/source-endpoints.md | Always, for the URL's host: the tested endpoint, its curl line, the failure each one shows, and the opt-in fallback reader |
Content-Type: text/markdown under 100K characters passes through intact.?raw=true, and Drive downloads redirect across hosts. Without -L you save an empty 301.--cookies-from-browser on a laptop, stop in a sandbox. The description is not the talk..md next to a large PDF means a scan, not a blank document: render the pages and read them.Maintenance only: evals/evals.json holds scenarios and routing prompts for anyone changing this skill.
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Implements agent-readiness on public sites and docs from Mintlify Agent Score, AFDocs, Is Agentic, Is It Agent Ready, or url-discovery-bench reports, or from server logs of agents 404ing on guessed URLs. Use when asked to "make our site agent-ready", "improve Agent Score", "fix llms.txt coverage", "agents keep 404ing on our docs", or when a pasted scorecard is the brief.
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Creates and improves portable Agent Skills with a validator, routing scenarios, and evidence-based keep, cut, merge, or retire decisions. Use when asked to "write a skill", "update all skills", "audit my SKILL.md", "remove redundant instructions", or fix skill triggering.
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Audits and edits agent instruction files, verifies repository commands, and migrates repositories to AGENTS.md as the single shared source. Use when asked to "improve my AGENTS.md", "migrate CLAUDE.md to AGENTS.md", or make instructions work across agents.
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Builds and maintains a repo's own verification harness (verify CLI, doctor, worktree isolation, feature map, seed data) and a reproduce-first bug handoff. Use when asked to "build a verification harness", "add a doctor command", "prove every feature still works", or "reproduce this bug report".
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Runs a changesets npm release through the version PR, CI publish, and registry verification. Use when asked to "release this package", "autoship", "merge Version Packages", or diagnose a release that did not publish.
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Audits agentic products for tool parity, authority, approval payloads, recovery, and trust using 24 rules and a ship verdict. Use when asked for an "AX audit", to review an agent approval flow, or whether an agent can operate the product.
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