io.github.garrytan/gstack/scrape

Pull data from a web page through the Aside browser — your real, already signed-in sessions. (gstack)

io.github.garrytan/gstack/skillify

Codify the most recent successful /scrape flow into a permanent browser-skill on disk. (gstack)

io.github.garrytan/gstack/autoplan

Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. (gstack)

io.github.garrytan/gstack/cso

Chief Security Officer mode. (gstack)

io.github.garrytan/gstack/canary

Post-deploy canary monitoring. (gstack)

io.github.garrytan/gstack/land-and-deploy

Land and deploy workflow. (gstack)

io.github.garrytan/gstack/setup-deploy

Configure deployment settings for /land-and-deploy.

io.github.garrytan/gstack/browse

Drive a real browser through Aside: open a page, read it, click through a flow, take screenshots, check console errors. (gstack)

io.github.garrytan/gstack/qa-only

Report-only QA testing. (gstack)

io.github.garrytan/gstack/design-shotgun

Design shotgun: generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate. (gstack)

io.github.garrytan/gstack/design-review

Designer's eye QA: finds visual inconsistency, spacing issues, hierarchy problems, AI slop patterns, and slow interactions — then fixes them. (gstack)

io.github.garrytan/gstack/design-html

Design finalization: generates production-quality Pretext-native HTML/CSS. (gstack)

io.github.garrytan/gstack/plan-design-review

Designer's eye plan review — interactive, like CEO and Eng review. (gstack)

io.github.garrytan/gstack/design-consultation

Design consultation: understands your product, researches the landscape, proposes a complete design system (aesthetic, typography, color, layout, spacing, motion), and generates font+color preview... (gstack)

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.nextlevelbuilder/ui-ux-pro-max-skill/ui-ux-pro-max

UI/UX design intelligence for web, mobile, and desktop. This skill should be used when designing, building, reviewing, or fixing interfaces, including pages, components, design systems, accessibility, interaction, responsive layout, typography, color, charts, and stack-specific UI implementation. Searchable local data: 79 searchable styles (50 active), 192 product palettes and reasoning profiles, 74 font pairings, 119 UX guidelines, 105 icons, 17 GSAP presets, 25 chart types, and 22 stacks.

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.NousResearch/hermes-agent/reddit-reading

Read Reddit: subreddits, search, threads, users. No browser.

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`.

io.github.ossrs/srs/srs-develop

Develop, modify, debug, review, maintain, and explain the SRS and Oryx codebases and the SRS Docker image toolchain. Use for planned changes to the next-generation SRS Go proxy, SRS browser player, ossrs/dev-docker images, or Oryx Go backend, React dashboard, integrated runtime, packaging, installers, releases, and tests; bug maintenance; issue and pull-request triage; pull-request review; and Learn Code questions. The C++ SRS server is in maintenance mode, and planned Go origin and edge development is not yet supported. NOT for end-user support, usage questions, or configuration help — use srs-support for those.

io.github.koala73/worldmonitor/verify-worldmonitor

Verify WorldMonitor dashboard behavior with existing browser tests or a scoped manual drive. Use for panels, map layers, settings, search, country briefs, boot, or dashboard screenshots.