Skills

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Developmentobra/superpowersFeatured

Fifteen skills that give a coding agent a full development process

Our takeIts premise is that models lack process discipline, not coding ability. The single best idea to steal is 'Rulings, not stalls': decide by default, and stop for a human only when an action is irreversible, touches a security-sensitive surface, leaks outside the worktree, or the plan is already too broken to continue. We adopted those four gates in our own pipelines.

v6.4.1 (2026-09-18), MIT, 289k stars — the largest single skill repository we have found. It chains brainstorming, spec writing, git-worktree isolation, planning, subagent execution, red-green TDD, two-way code review and verification-before-completion into one trunk workflow, and the README lists 16+ harnesses: Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Kimi Code, Devin CLI and more.

Claude CodeCodexCursor

/plugin install superpowers@claude-plugins-official

Shellobra289.2k

Developmentmattpocock/skillsFeatured

The 38 skills Matt Pocock uses every day for real engineering

Our takeIt sells parts rather than a whole process: code-review, diagnosing-bugs and resolving-merge-conflicts each stand alone. grill-me, grilling and wait-what turn the agent around to interrogate your requirements, and nothing else in this batch does that. CONTEXT.md at the repo root decouples project vocabulary from generic skills — the cleanest version of that idea we have seen.

The personal working set of the author of Total TypeScript; the repo describes itself as real engineering, not vibe coding. 38 SKILL.md files, primary language Shell, grouped as engineering (18), productivity (7), misc (4) and in-progress (9). It explicitly rejects takeover-style frameworks such as GSD, BMAD and Spec-Kit in favour of small, easy to adapt, composable.

Claude Code

claude plugins install mattpocock-skills

Shellmattpocock266.4k

Research199-biotechnologies/claude-deep-research-skill

An eight-phase deep research pipeline with an evidence ledger

Our takeThe soul is four append-only JSONL ledgers: sources, evidence, claims and run_manifest. Every factual claim must carry an inline [N] backed by evidence.jsonl, unsupported claims may not ship, and validate_report.py plus verify_citations.py check the result. The repo has no LICENSE file, which under default copyright means all rights reserved: you can read and run it locally, but get the author's permission before redistributing or using it commercially.

1,051 stars. Four intensity modes — Quick at 3 phases and 2-5 minutes, Standard at 6, Deep at 8, UltraDeep at 8+ and 20-45 minutes — running SCOPE, PLAN, RETRIEVE, TRIANGULATE, outline refinement, SYNTHESIZE, CRITIQUE, REFINE and PACKAGE, and emitting Markdown, a McKinsey-style HTML report and a PDF.

Claude Code

git clone https://github.com/199-biotechnologies/claude-deep-research-skill ~/.claude/skills/deep-research

Python199-biotechnologies1.1k

MediaYusuke710/manim-skill

Let Claude Code produce 3Blue1Brown-style explainers with Manim

Our takeStep three is the point: the agent owns the render-until-success loop instead of handing errors back to you. That is exactly where Manim costs humans the most, since one wrong coordinate means another ten-second re-render. The repo also writes 'avoid generic AI slop aesthetics' into its goals, treating taste as a requirement rather than luck, and keeps plan.md as a separate file so iteration does not require re-explaining context.

156 stars, MIT, site manimate.ai. Four steps: Plan (storyboard, optionally in plan mode), Code (write Manim scenes in Python), Render (keep going until every scene renders successfully) and Iterate (open the video viewer in a browser and paste your notes back). The project layout is fixed as plan.md, script.py, concat.txt and final.mp4.

Claude Code

/plugin marketplace add Yusuke710/manim-skill

HTMLYusuke710156