Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
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.
49.409 skill-uri din 2.375 de depozite · actualizat acum 11 ore
49.409 skill-uri
- test-mac-appdaveebbelaar/bamaTest a macOS app at three levels, from Swift Testing unit tests and an in-app self-test to a debug bridge that lets an agent drive the running app and read its state, plus computer use for real clicks. Use when adding logic, fixing a bug, before a release, or when the user asks for tests, end-to-end checks, or "make sure it works".TestareFără avertismente★ 1,5 K↓ —
- executing-plansGanyuanRan/AegisUse when executing a written implementation plan across sessions or with review checkpoints. Small or single-slice plans stay inline. For same-session independent tasks, use subagent-driven-development instead.PlanificareFără avertismente★ 1,4 K↓ —
- hf-cloud-python-env-setuphuggingface/skillsSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.OficialInginerieFără avertismente★ 11,3 K↓ —
- ui-ux-governanceGanyuanRan/AegisUse when designing, changing, or reviewing user-facing interfaces or interaction flows, including API changes that alter visible states or recovery. Backend-only work without user-facing effects stays on its existing route.DesignFără avertismente★ 1,4 K↓ —
- render-glassy-matte-grwmgooseworks-ai/goose-skillsAssemble a multi-scene GRWM beauty-demo ad from a config — a locked-identity creator applies ~5 products step by step while a SEPARATE ElevenLabs voiceover narrates and every scene cut is snapped to the VO's product-name word-starts (Whisper word-level timestamps), then ~5 Playwright product overlay cards (real PDP-verified taglines) are composited onto the master each on its product-NAME word-start, the SEPARATE VO is mixed on top of a ducked music bed at loudnorm I=-14, clean-white 3-words/cue captions are burned, and the video closes on a flat-lay end card. This is the FREE deterministic assembly stage (re-cut to the VO word-starts, hard-concat, Playwright card render + card composite, VO plus music mix, caption burn, flat-lay end card); the VO, scene clips, product cutouts, and music come from create-music-elevenlabs / create-image-gpt-image-fal / create-video-fal. Use for the glassy-matte-grwm format.MediaFără avertismente★ 1,3 K↓ —
- content-humanizeralirezarezvani/claude-skillsMake a draft sound less like AI: fix generic, robotic text with rhythm, specifics, personality and brand voice. Use whenever the user says copy sounds like ChatGPT, bland or stiff, or not like them.RedactareFără avertismente★ 29,2 K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OficialMediaFără avertismente★ 11,3 K↓ —
- gdpr-dsgvo-expertalirezarezvani/claude-skillsUse for GDPR or DSGVO work: scanning a codebase for privacy risks, writing a DPIA or tracking data subject requests against the Art. 12(3) deadline. Runs gdpr_compliance_checker.py, dpia_generator.py and data_subject_rights_tracker.py; final calls go to the DPO.JuridicFără avertismente★ 29,2 K↓ —
- planning-with-files-zhtOthmanAdi/planning-with-files用於多步驟 AI 代理工作的持久化檔案規劃。將 task_plan.md、findings.md 與 progress.md 保存在磁碟上，生命週期鉤子會注入選定的專案規劃內容。自動恢復只讀取專案規劃檔案；只有明確執行 session-catchup.py --metadata 才會檢查本機同一專案的代理工作階段中繼資料，--replay 則會輸出有界且以 nonce 框定的摘錄。選用的閘門模式只會在主機支援時要求繼續，而且絕不執行 Markdown 中宣告的命令。此技能沒有網路上傳路徑。適用於研究或需要超過 5 次工具呼叫的工作。觸發詞：任務規劃、專案計畫、制定計畫、分解任務、多步驟規劃、進度追蹤、檔案規劃、幫我規劃、拆解專案PlanificareFără avertismente★ 27,9 K↓ —
- writing-plansGanyuanRan/AegisUse when you have an approved spec or written requirements for a multi-step task that needs a durable plan document before touching code. Small, single-owner, or fast-path tasks do not need this skill.RedactareFără avertismente★ 1,4 K↓ —
- rpihashgraph-online/awesome-codex-pluginsDrive one accepted change through implementation and checks to done, with one fresh review only where a mistake is costly. Use when: asked to run or orchestrate work through RPI.InginerieFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- url-dumphuytieu/COG-second-brainQuick capture URLs with automatic content extraction, insights, and categorization into knowledge bookletsAlteleFără avertismente★ 1,3 K↓ —
- oma-imagefirst-fluke/oh-my-agentGenerate raster images or reference-guided variations through the OMA image CLI. Use for image assets or explicit vendor comparisons; pixel editing uses an editor.MediaFără avertismente★ 1,4 K↓ —
- planning-with-files-zhOthmanAdi/planning-with-files用于多步骤 AI 代理工作的持久化文件规划系统。将 task_plan.md、findings.md 和 progress.md 保存在磁盘上，生命周期钩子会注入选定的项目规划上下文。自动恢复只读取项目规划文件。只有显式运行 session-catchup.py --metadata 才会检查本机同项目的会话元数据；--replay 可输出有长度限制且由 nonce 框定的同项目摘录。可选门禁仅在宿主支持时请求继续，绝不执行 Markdown 中声明的命令。本技能没有网络上传路径。适用于研究或需要 5 次以上工具调用的工作。触发词：任务规划、项目计划、制定计划、分解任务、多步骤规划、进度跟踪、文件规划、帮我规划、拆解项目PlanificareFără avertismente★ 27,9 K↓ —
- designhashgraph-online/awesome-codex-pluginsUse for standard or complex new work before coding or planning. Also handles vague goals — clarifies before designing.DesignFără avertismente★ 1,5 K↓ —
- nanoresearch-experimentOpenRaiser/NanoResearchGenerate a Python code skeleton from an experiment blueprintInginerieFără avertismente★ 1,3 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; Gemini 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. The session-end hook reports status only; it does not request continuation or run 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↓ —
- layout-griddaveebbelaar/bamaGrid and alignment rules for a macOS SwiftUI app, with three checks that catch misalignment (a lint for off-grid numbers, a layout probe that measures real frames in snapshot mode, and a grid overlay). Use when building or reviewing a custom page, card, row, form, or sheet, after every build that touched layout, or when the user says something looks misaligned, crooked, cramped, or unevenly spaced.AlteleFără avertismente★ 1,5 K↓ —
- postgresql-development-cloudbaseTencentCloudBase/CloudBase-AI-ToolkitUse when building, debugging, or evaluating CloudBase PostgreSQL / CloudBase PG / PG mode apps, including Postgres schema setup, queryPgDatabase/managePgDatabase, JS SDK v3 app.rdb() CRUD/RPC, PG HTTP API fallback, RLS-style permissions, username-password auth, and Web CMS/admin CRUD flows backed by CloudBase PG.DateFără avertismente★ 1,2 K↓ —
- huggingface-community-evalshuggingface/skillsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.OficialAlteleFără avertismente★ 11,3 K↓ —
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OficialProductivitateFără avertismente★ 11,3 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↓ —
- product-discoveryalirezarezvani/claude-skillsValidate product ideas: map assumptions, plan discovery sprints, test problem-solution fit. Use whenever the user asks if an idea is worth building.TestareFără avertismente★ 29,2 K↓ —
- product-analyticsalirezarezvani/claude-skillsUse when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.DateFără avertismente★ 29,2 K↓ —
year-in-review
mohitagw15856/pm-claude-skills
InginerieActualizat acum 22 de ore
De la autor
Run an honest personal year-in-review and set next year's direction — wins, misses, an energy audit, and one theme, not a resolution list that dies in February. Use when asked for a personal year in review, a yearly reflection, to reflect on the past year, or plan next year. Produces the structured retrospective (what worked, what didn't, what you learned), an energy audit of what gave vs. drained you, the honest misses, and a single theme with a few concrete commitments. Personal, not corporate.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill year-in-review -a claude-code
Se instalează în .claude/skills/year-in-review/ · 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
Verificări de siguranță pe SKILL.md
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De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (1)
- SKILL.md