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Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
49.415 skill-uri din 2.407 depozite · actualizat acum 3 ore
49.415 skill-uri
- improve-architecturedaveebbelaar/bamaArchitecture check-in for a growing macOS Swift codebase. Finds hot spots, proposes deeper modules, and refactors one step per commit with behavior proven unchanged. Use at the end of a milestone, before a big feature, when a file passes 600 lines, when one feature touches many files, when bugs repeat in one area, or when the user asks to refactor or clean up the code.PlanificareFără avertismente★ 1,6 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- ctxctxrs/ctxUse ctx as working memory for prior agent work. Before starting or continuing work in an unfamiliar area, resuming earlier work, or revisiting an investigation, search prior sessions to ground yourself in earlier context. Use ctx blame to trace a line, file, commit, or PR to the agent session that produced it. Use when prior decisions, constraints, attempts, tool calls, transcript evidence, or code provenance may matter. Use ctx graph queries on indexed projects to follow calls and dependencies and understand what a change might affect.FinanțeFără avertismente★ 1,2 K↓ —Apare și în 1 alt depozit
- communicating-conciselyGanyuanRan/AegisUse when the user asks for caveman mode, fewer tokens, brief responses, compressed communication, or otherwise explicitly requests a much shorter answer.AlteleFără avertismente★ 1,4 K↓ —
- red-green-proofalirezarezvani/claude-skillsTurns a suspected bug into a proven one. Verify the cause against reality before claiming it, write a test that FAILS on the current code, apply the fix, watch it pass — then revert the fix and confirm the test goes red again, because a test that passes both ways proves nothing. Invoked bare after a debugging conversation, it takes the target from context rather than asking. Use when fixing a bug, investigating an incident, hardening a flaky area, or when asked to "add tests that reveal the bug". Triggers on "/red-green-proof", "prove the bug", "red-green", "make the test fail first", "is that test load-bearing", "reveal the bug with a test".TestareFără avertismente★ 29,3 K↓ —
- plain-writingNouhashgraph-online/awesome-codex-pluginsMakes every report a Mobbin skill writes read like a person wrote it, in plain interface terms. Use only when a Mobbin skill writes prose for the user or asks for this skill by name; not for writing outside Mobbin skills. Removes the tells of AI-generated writing (em dashes, puffery, design buzzwords, rule-of-three, sign-offs) without changing a fact or adding one.RedactareFără avertismente★ 1,5 K↓ —
- vibe-knowledge-filmHeyChengC/vibe-knowledge-film抖音「Vibe知识大赏」式的无旁白知识短片：2–5 分钟、16:9、没有人声，观众读底部一行字幕，同时看屏上把这句话演出来。 核心是讲解设计：给每个概念找一个外行认得的形象，画得像它本身（不用点、线、圈代替），句子里说到什么屏上就是什么、动词真的发生； 提问、命名、结论不硬配图。全片由代码逐帧画出（Canvas + seek(t) + Playwright + ffmpeg）。 内含四条参考片的逐句拆解、六种画法、找形象的方法、分镜表格式、两套外观、渲染引擎和合成配乐。 用户说"做一条 vibe 知识大赏的视频""像《信息论·惊奇之学》《运气的形状》《超常刺激》《自指》那样的片子""代码直出的知识短片""没有旁白的字幕科普片""把这个概念直观地讲清楚"， 或者给了一个题目、一份文案要做成这种片子时使用。只做 16:9 横屏。有人声口播的讲解片不用这个。TestareFără avertismente★ 1,1 K↓ —
- docs-page-generatorkostja94/marketing-skillsDeprecated compatibility entry for Documentation Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Documentation Page.AlteleFără avertismente★ 1,1 K↓ —
- minutes-recordsilverstein/minutesStart or stop recording a meeting, call, or voice memo. Use this whenever the user says "record", "start recording", "capture this meeting", "stop recording", "I'm in a meeting", "take notes on this call", or wants to transcribe live audio. Also use when they ask about recording status or want to know if something is being recorded.MediaFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- add-sharepointmicrosoft/power-platform-skillsUse when the user wants to read or write SharePoint lists, manage documents in a SharePoint document library, or create a new SharePoint list from a Power Apps mobile app.RedactareFără avertismente★ 1,1 K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OficialMediaFără avertismente★ 11,3 K↓ —
- huggingface-tool-builderhuggingface/skillsUse this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.OficialInginerieFără avertismente★ 11,3 K↓ —
- nanoresearch-writingOpenRaiser/NanoResearchDraft a LaTeX research paper from all previous stage outputsRedactareFără avertismente★ 1,3 K↓ —
- nanoresearch-ideationOpenRaiser/NanoResearchSearch academic literature and generate research hypothesesȘtiințăFără avertismente★ 1,3 K↓ —
- ml-paper-writingOpenRaiser/NanoResearchWrite publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.ȘtiințăFără avertismente★ 1,3 K↓ —
- doca-pcc-countersNVIDIA/skillsUse this skill when the user is invoking the DOCA PCC Counters tool — the `pcc_counters.sh` bash script under the DOCA tools directory — to arm and read the fixed firmware/hardware PCC (Programmable Congestion Control) diagnostic counters (CNP, RTT, WRED-drop, etc.) on a ConnectX / BlueField device via mst + the mlx5 debugfs `diag_cnt` interface. The script takes two positional args — `set | query` and an mst device path — with no `--help` or subcommands. Trigger even without "pcc_counters.sh" or "PCC counters": "how do I read the CNP / RTT / WRED-drop counters", "PCC counter stuck at zero", "the script says Bad Device", or "is congestion control dropping packets on this port?". Route elsewhere for writing a custom PCC algorithm (doca-pcc), factory firmware PCC config, DOCA install, or fleet-wide CC tuning.DesignFără avertismente★ 3,9 K↓ —
- peft-fine-tuningOpenRaiser/NanoResearchParameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.ProductivitateFără avertismente★ 1,3 K↓ —
- ultragoalhuytieu/COG-second-brainRun a large, multi-session goal (e.g. shipping a whole side product) through the full V-model closed loop, one phase at a time, with cross-session state and a final north-star acceptance gate. Ultragoals never downgrade the lane: every phase runs CP-1→CP-6 with adversarial verification. Opt-in: invoke with /ultragoal or by calling something a long-running goal. Ordinary work does not run this.AlteleFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- ai-eval-planmohitagw15856/pm-claude-skillsDesign an evaluation plan for an LLM or AI feature before shipping it. Use when asked how to evaluate a prompt/model/agent, set up an eval harness, define quality metrics for an AI feature, or build a regression gate. Produces an eval plan — task definition, datasets, metrics & rubrics, baselines, automated + human evals, a pass bar, and a regression gate.PlanificareFără avertismente★ 1,5 K↓ —
- minutes-listsilverstein/minutesList recent meetings and voice memos. Use when the user asks "what meetings did I have", "show my recent recordings", "any meetings today", "list my voice memos", or wants an overview of their meeting history. Also use when they need to find a specific meeting by browsing rather than searching.PlanificareFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- design-systemdaveebbelaar/bamaAccent color and design system for a macOS app, from the app's accent and the accent picker in Settings to Swift tokens in code plus a design/DESIGN-SYSTEM.md that says which token to use when. Use when the user wants a brand or accent color, wants people to pick a color, when an app has more than a few screens, when screens drift apart or animations feel inconsistent, or when the user asks for themes, a style guide, or design tokens.DesignFără avertismente★ 1,6 K↓ —
- scouthuytieu/COG-second-brainEvaluate URLs and tools — check vault coverage, assess relevance, recommend save or skipAlteleFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- url-dumphuytieu/COG-second-brainQuick capture URLs with automatic content extraction, insights, and categorization into knowledge bookletsAlteleFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- onboardinghuytieu/COG-second-brainPersonalize COG for your workflow - creates profile, interests, and watchlist files with guided setup (run this first!)ProductivitateFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
nejm-rebuttal
brycewang-stanford/Awesome-Journal-Skills
RedactareActualizat 27 sept. 2026
De la autor
Use after NEJM reviews arrive — often including a dedicated statistical reviewer and an editor letter — to triage the decision, answer statistical comments rigorously, and draft a point-by-point response that quotes each comment, the response, and the revised manuscript text. Do not run before the main text is actually revised.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill nejm-rebuttal -a claude-code
Se instalează în .claude/skills/nejm-rebuttal/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
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De ce 88
Securitate100
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (1)
- SKILL.md