Best agent skills packs (2026)

1. 1.Google Workspace CLIApache-2.0 first-party gws CLI — Drive, Gmail, Calendar, agent skills

   Free / OSS · Apache-2.0 · 31.7k GitHub stars

   VerdictApache-2.0 Workspace CLI. First-party org tooling for agents; not a Google support SLA.

   CatchFirst-party googleworkspace org surface — but the README states it is not an officially supported Google product. Vs raw Workspace REST / Apps Script: this is the CLI/agent skill layer, not a new API. Needs a GCP project + OAuth; unverified apps hit scope limits; Workspace/Admin API quotas still apply.

2. 2.SuperpowersComposable agent skills that force brainstorm → plan → TDD → subagent review

   Free / OSS · OSS/MIT · 302k GitHub stars

   VerdictMIT agent methodology. Install when your agent skips specs and tests; not a replacement for the harness itself.

   CatchYou still need a strong coding harness and model budget; Superpowers is process, not an agent runtime. Optional visual-companion telemetry (opt out via SUPERPOWERS_DISABLE_TELEMETRY / Claude DisableTelemetry). Vs agent-skills (Addy Osmani lifecycle pack) and ECC (multi-host skill ecosystem): Superpowers is the opinionated SDLC methodology that hijacks the session start, not a general skill library or host-agnostic plugin bag.

3. 3.Agent Skills (Addy Osmani)Production lifecycle skills — /spec /plan /build /test /review /ship

   Free / OSS · OSS/MIT · 108k GitHub stars

   VerdictMIT production skill pack. Reach for it when you want explicit /spec→/ship gates across many harnesses.

   CatchPer-skill installs can miss shared `references/` checklists — prefer whole-repo or full pack install. Still markdown discipline, not a runtime that forces compliance if the host ignores skills. Vs Superpowers (session-hijacking SDLC methodology) and knowledge-work-plugins (Anthropic official packs): this is the Google-flavored lifecycle library you pick skill-by-skill, not an automatic brainstorm→subagent loop.

4. 4.ArchifyMIT agent skill that renders architecture and workflow diagrams as self-contained HTML

   Free / OSS · OSS/MIT · 85.5k GitHub stars

   VerdictMIT agent diagram skill. Handy portable HTML for architecture/workflow/sequence views; validate generated relationships against the code.

   CatchVs GitDiagram: Archify is an agent skill that renders requested architecture/workflow/sequence views as self-contained HTML, while GitDiagram is a repo-to-interactive-diagram product. Diagram output is an orientation aid, not proof that every dependency or runtime relationship is correct; verify it against the source before using it as an architecture contract.

5. 5.Stitch SkillsGoogle Labs agent skills and plugins for the Stitch design MCP

   Free / OSS · Apache-2.0 · 8.5k GitHub stars

   VerdictApache-2.0 Stitch-oriented agent skills. Use when coding agents should drive Google Stitch design/build flows.

   CatchVs generic agent-skills packs: this library is Stitch-specific — useful when you are on Google Stitch, not a universal design system. Stitch product access and quotas remain Google-side constraints; the skills repo does not replace that.

6. 6.SkillboxSelf-hosted versioned skills library with MCP and scoped clients

   Free / OSS · OSS/MIT · 272 GitHub stars

   VerdictMIT self-hosted skills library. Use when multiple agents need a versioned, scoped skill source you control.

   CatchVs Addy Agent Skills / Stitch Skills: Skillbox is the self-hosted library and MCP distribution plane, not a content pack of engineering or Stitch-specific skills. You run Postgres (or Docker Compose) and guard SKILLBOX_ADMIN_TOKEN; optional Jev tips inherit TypeSafe pricing.

7. 7.HumanizerAgent skill that rewrites AI-sounding prose without changing the meaning

   Free / OSS · OSS/MIT · 58.2k GitHub stars

   VerdictMIT Agent Skills pack for de-AI prose. Reach for /humanizer when drafts read like a model wrote them.

   CatchVs Caveman: Humanizer targets human-sounding prose; Caveman targets terse token compression for coding agents — different jobs. "sounds human" is still model-dependent taste; keep a human pass on legal/compliance copy.

8. 8.video-useVideo-editing skill stack for coding agents

   Free / OSS · OSS/MIT · 29.3k GitHub stars

   VerdictMIT local video-editing skills for coding agents. Keep it when you want inspectable FFmpeg workflows; do not mistake it for a browser agent or a turnkey editor.

   CatchVs HyperFrames and Browser Use: video-use is a video-editing skill stack, not browser automation or a general web-use agent. The useful path needs shell access and FFmpeg, and transcription needs ElevenLabs unless you supply another compatible route; Cloud is optional, but the local setup is not zero-dependency or zero-credential.

9. 9.ImpeccableApache design language/skills that make AI harnesses better at UI

   Free / OSS · Apache-2.0 · 82.8k GitHub stars

   VerdictApache design skill when your coding agent ships samey SaaS UI and you want PRODUCT.md + detectors in-loop; not a substitute for an agent runtime.

   CatchVs Superpowers and agent-skills packs: Impeccable is a design-language/skills layer for UI quality, not a coding agent and not a general agent-skills monorepo. Node ≥22.18 for the npx installer path; star count is extreme (~70k) — treat momentum as discovery noise until the skill actually changes your harness output.

10. 10.antislopMIT skill/rules that filter generic AI UI and copy — not a style guide

    Free / OSS · OSS/MIT · 6.5k GitHub stars

    VerdictMIT anti-slop skill when agents invent metrics and Inter-purple SaaS chrome; pair with DESIGN.md (or Impeccable) if you also need positive design direction.

    CatchVs Impeccable: antislop is a slop filter + PASS/FAIL delivery gate, not a design-language skill with craft commands and deterministic detectors. Without your own DESIGN.md the output can be honest but plain (R-37); it does not beautify on its own.

Also reviewed (15)

• unlazy — MIT anti-laziness Depth Tree skill — gates, evidence, reverify
• CC Switch — MIT desktop All-in-One manager for Claude Code, Codex, OpenCode, and peers
• Claude for Financial Services — Apache-2.0 finance reference agents/skills (Anthropic)
• Matt Pocock Skills — MIT composable SKILL.md pack for real engineering — not vibe coding
• Ponytail — MIT “laziest senior” skill — measured LOC/token/cost cuts, not vibes
• SkillOpt — MIT skills optimizer — trains skill.md as params for frozen agents
• BMAD Method — MIT agent skills method — npm bmad-method, not proprietary
• Skills (Vercel Labs) — MIT open agent-skills CLI — npx skills, skills.sh ecosystem
• InsForge — Apache agent-native backend with MCP self-host
• OpenKnowledge — GPL-3.0 local markdown IDE + LLM wiki — MCP/skills for agent editing
• OpenChatX — MIT local ChatGPT agent runtime — tools, MCP aggregate, skills
• Skills Manager — MIT desktop app that keeps one agent-skills library and syncs it into Claude Code, Codex, Cursor and dozens more
• Hermes Agent — MIT self-improving agent from Nous Research — skills from experience, multi-channel gateway, any model
• TrueForge — MIT open-source agent harness — MCP, skills, subagents, approvals, local SQLite or hosted Postgres
• Fabric — MIT CLI that runs a library of reusable prompt patterns