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実際に使われている Agent Skills。
公開リポジトリの検証済み Skills を比較し、機能、内容、導入状況、出典を確認してから追加できます。
- 掲載範囲
- 検証済み
- Skills
- 1,033
- リポジトリ
- 142
- 最終同期
- 2026/08/31
heygen-commedia-use
Agent Media OS, the single skill for every media need in a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, resolve); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague feedback that real footage looks dark, flat, boring, should feel retro/camcorder/print/ASCII, needs privacy, or needs a media reveal.
- 導入数
- 33.9万
- GitHub Stars
- 4.3万
- 更新日
- 8月31日
nextlevelbuilderui-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.
- 導入数
- 33.8万
- GitHub Stars
- 12.3万
- 更新日
- 8月31日
juliusbrusseecaveman-commit
Write a Conventional Commits message compressed to intent only. Use for "write a commit", "commit message", /commit or /caveman-commit.
- 導入数
- 32.9万
- GitHub Stars
- 10.2万
- 更新日
- 8月29日
juliusbrusseecaveman-review
Compressed code review - one line per finding with location, problem and fix. Use for /caveman-review, "review this PR", or "review the diff".
- 導入数
- 32.6万
- GitHub Stars
- 10.2万
- 更新日
- 8月29日
juliusbrusseecaveman-compress
Compress a memory file such as CLAUDE.md or a todo list into caveman format to save input tokens, keeping a readable backup. Trigger: /caveman-compress.
- 導入数
- 32.4万
- GitHub Stars
- 10.2万
- 更新日
- 8月29日
heygen-comhyperframes-creative
Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use hyperframes-animation.
- 導入数
- 31.9万
- GitHub Stars
- 4.3万
- 更新日
- 8月31日
juliusbrusseecaveman-help
Quick-reference card for caveman modes, skills and commands. Trigger: /caveman-help or "caveman help".
- 導入数
- 31.7万
- GitHub Stars
- 10.2万
- 更新日
- 8月29日
leonxlnxhigh-end-visual-design
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
- 導入数
- 31.6万
- GitHub Stars
- 8.3万
- 更新日
- 8月24日
vercel-labsvercel-composition-patterns
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.
- 導入数
- 31.4万
- GitHub Stars
- 3.1万
- 更新日
- 8月28日
leonxlnxredesign-existing-projects
Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.
- 導入数
- 31.2万
- GitHub Stars
- 8.3万
- 更新日
- 8月24日
lllllllamaai-research-explore
Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of currentresearch with auditable repo understanding, idea gating, fair comparison, and governed experiments written to exploreoutputs/. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, verified novelty claims, or implicit experimentation.
- 導入数
- 31.1万
- GitHub Stars
- 480
- 更新日
- 7月26日
larksuitelark-vc-agent
仅当用户或上游配置显式指定 lark-vc-agent 时使用，相关请求统一交由 lark-meeting 技能处理。
- 導入数
- 31.1万
- GitHub Stars
- 1.7万
- 更新日
- 8月31日
lllllllamaanalyze-project
Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without modifying code or running heavy jobs. Do not use for active command execution, broad refactoring, speculative code adaptation, or automatic bug fixing.
- 導入数
- 31.1万
- GitHub Stars
- 480
- 更新日
- 7月26日
lllllllamaai-research-reproduction
Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized reprooutputs/ bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, score chasing, or broad research assistance outside repository-grounded reproduction.
- 導入数
- 31.1万
- GitHub Stars
- 480
- 更新日
- 7月26日
lllllllamaexplore-code
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in exploreoutputs/. Do not use for end-to-end exploration orchestration on top of currentresearch, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
- 導入数
- 31.1万
- GitHub Stars
- 480
- 更新日
- 7月26日
lllllllamasafe-debug
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.
- 導入数
- 31.1万
- GitHub Stars
- 480
- 更新日
- 7月26日
lllllllamarun-train
Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized trainoutputs/. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.
- 導入数
- 31万
- GitHub Stars
- 480
- 更新日
- 7月26日
lllllllamaexplore-run
Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning trials, with fair-comparison caveats and no-overclaim summaries in exploreoutputs/. Do not use for end-to-end exploration orchestration on top of currentresearch, trusted baseline execution, conservative training verification, default routing, verified SOTA claims, or implicit experimentation.
- 導入数
- 31万
- GitHub Stars
- 480
- 更新日
- 7月26日
microsoftairunway-aks-setup
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".
- 導入数
- 30.1万
- GitHub Stars
- 1434
- 更新日
- 8月31日
mattpocockgit-guardrails-claude-code
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
- 導入数
- 29.4万
- GitHub Stars
- 24.2万
- 更新日
- 8月24日
leonxlnxminimalist-ui
Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.
- 導入数
- 29万
- GitHub Stars
- 8.3万
- 更新日
- 8月24日
mattpococksetup-pre-commit
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
- 導入数
- 28.7万
- GitHub Stars
- 24.2万
- 更新日
- 8月24日
mattpocockscaffold-exercises
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
- 導入数
- 28.2万
- GitHub Stars
- 24.2万
- 更新日
- 8月24日
mattpocockwriting-beats
Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.
- 導入数
- 28.1万
- GitHub Stars
- 24.2万
- 更新日
- 8月24日