ito-training — Agent Skill 安装配置（SkillsMP）

io.github.PostHog/posthog/building-html-canvases

Author a PostHog canvas with semantic HTML, CSS, and direct browser APIs — documents, articles, generative graphics, 2D canvas and WebGL experiences, and focused experiments where React components add no useful structure. Use after building-canvases has routed a canvas request to a plain-HTML/browser-API implementation. Covers the thin component wrapper the current runtime requires, styling and theming without Quill, drawing surfaces, and animation/cleanup patterns.

io.github.microsoft/vscode/policy-and-managed-settings

Use whenever adding, modifying, or reviewing any Copilot, agent, LLM, AI, tool, permission, sandbox, MCP, model, telemetry, feature-gate, setting, configuration, or enterprise control—especially anything an organization or administrator may need to manage. Start here to decide whether it belongs in runtime managed settings, a typed SDK contract, VS Code configuration policy, extension policy, or a split implementation. Run on every new Copilot/agent/LLM control and ANY change that adds a `policy:` field.

io.github.netdata/netdata/triage-codacy

Codacy Cloud workflow for this repository -- run Codacy's analyzers locally before `git push` (mirrors what Codacy CI runs), and fetch/cluster Codacy issues for any PR via the v3 API. Use when the user mentions Codacy, "codacy analysis", `codacy-analysis-cli`, "codacy issues on PR", "fix codacy CI", "codacy markdownlint findings", or any Codacy gate failing on a netdata-org PR. Ships scripts analyze-local.sh (docker/binary runner for codacy-analysis-cli) and pr-issues.sh (paginated v3 issue fetch + group-by tool/pattern/severity/file). Token-safe -- CODACY_TOKEN never reaches assistant-visible stdout. Read-only by design; write actions (mark FP, mark fixed) require a GitHub issue or branch-local SOW.

io.github.netdata/netdata/triage-codeql

Triage GitHub Code Scanning alerts (CodeQL with security-extended suite) for this repository — list open alerts, dismiss as false positive / won't fix / used in tests, query via GitHub REST + GraphQL. Use when the user asks to "review GitHub security alerts", "check CodeQL findings", "triage code scanning", or anything mentioning Code Scanning, CodeQL, security-extended, or github.com/$repo/security/code-scanning.

io.github.netdata/netdata/packaging-static-installer

Build a static, self-extracting Netdata installer (`netdata-<arch>-latest.gz.run`) from this checkout for x86_64, aarch64, armv6l, or armv7l. Use when the user asks to build, produce, package, or test a static binary, makeself installer, `.gz.run` artifact, or "static install" of Netdata; when verifying a PR by deploying it to a Linux machine without a native build toolchain; when reproducing a CI static-builder issue locally. Covers the docker-based build flow under `packaging/makeself/`, mandatory pre-flight checks (submodule init, fresh `netdata/static-builder:v1` image), the 18 ordered jobs the build runs, output artifact layout, the `artifacts/cache/` reuse model, cross-arch QEMU caveats, debug builds, common failures with their fixes, and how to copy/verify the artifact on a target host.

io.github.netdata/netdata/docs-learn-site-structure

Authoritative reference for how docs in this repo (and 5 other Netdata-org repos) become published pages on `learn.netdata.cloud`. Covers the `<repo>/docs/.map/map.yaml` source-of-truth (the actual lever -- filesystem path is irrelevant for routing), the live `ingest/ingest.py` orchestrator in the learn repo (NOT the legacy `ingest.js`), frontmatter injection, slug rules, sidebar autogeneration, MDX escape rules, versioning, the 4-mechanism redirect stack, the 6 source repositories, the every-3-hours CI ingest, Netlify deploy, and the `part_of_learn=True` opt-in for files hand-authored in the learn repo. Use when adding/moving/renaming/deleting a docs page; when a page on Learn looks wrong; when wondering whether to edit a doc here or in the learn repo; when reading `ingest.py`, `sidebars.js`, `docusaurus.config.js`, `static.toml`, `LegacyLearnCorrelateLinksWithGHURLs.json`, `netlify.toml`, the `<!--startmeta` blocks in `.mdx` files, or the workflows `ingest.yml` and `daily-learn-link-check.yml`.