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.
49.496 de skill-uri din 2.391 de depozite · actualizat acum 9 minute
49.496 de skill-uri
- minutes-graphsilverstein/minutesPolicy-safe relationship rankings, commitments, aliases, person profiles, and topic research. Always use Minutes' bounded native CLI surfaces; never build or read a durable graph cache.ȘtiințăFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- design-from-appdaveebbelaar/bamaRebuild the look of an app the user likes as a native SwiftUI design kit, by measuring its screenshots (sizes, spacing, type, colors, icons), building its parts, and comparing pixel by pixel until they match. Use when the user names an app whose look they want, shares screenshots of one, or says "make it look like X".DesignFără avertismente★ 1,5 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↓ —Apare și în 1 alt depozit
- minutes-notesilverstein/minutesAdd a note to the current recording or annotate a past meeting. Use whenever the user says "note that", "remember this", "mark this as important", "add a note about", "annotate the meeting", or wants to capture a thought during or after a recording. Plain text input — no markdown needed.ProductivitateFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- 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↓ —
- minutes-recapsilverstein/minutesGenerate a daily digest of today's policy-authorized meetings and voice memos — key decisions, action items, and themes across available recordings. Use when the user asks "recap my day", "what happened in my meetings today", "daily summary", "what did I discuss today", "any action items from today", or wants a consolidated view of the day's conversations.ProductivitateFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- baoyu-slide-deckJimLiu/baoyu-skillsGenerates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT".DocumenteFără avertismente★ 27,3 K↓ —
- minutes-live-sidekicksilverstein/minutesAct as the user's live meeting sidekick inside the current terminal agent session. Use when the user explicitly asks you, the terminal agent, to watch a meeting, follow the live transcript, answer during the call, offer strategist thoughts, silently watch for risks, or track decisions. Do not use this skill to start or control the separate Minutes Coach HUD; explicit Coach or HUD lifecycle requests belong to minutes-copilot, and an ambiguous request such as "coach me live" requires one short surface clarification.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- 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↓ —
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OficialȘtiințăFără avertismente★ 11,3 K↓ —
- minutes-release-notessilverstein/minutesDraft user-facing Minutes release notes for a version from the commit range, recent GitHub releases, and the repository release checks. Use when the user asks to write, generate, prepare, revise, or review release notes or a changelog for a Minutes version.ProductivitateFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- tech-radarmohitagw15856/pm-claude-skillsBuild a technology radar for an engineering team, categorizing technologies into Adopt/Trial/Assess/Hold quadrants following the ThoughtWorks Tech Radar format. Use when asked to create a tech radar, evaluate the team's technology landscape, categorize tools and frameworks, or establish a technology strategy. Produces a full tech radar with quadrant tables, individual blip rationales, a decision trail, and a maintenance process guide.AlteleFără avertismente★ 1,5 K↓ —
- dashboard-statushoangsonww/Claude-Code-Agent-MonitorQuick dashboard health and status overview — checks the Agent Monitor API (port 4820), reports session/agent/event counts from /api/stats, confirms WebSocket connectivity, reads the redacted hook status returned by /api/settings/info, and shows data freshness (last event timestamp). Use to verify the monitoring system is operational.InginerieFără avertismente★ 1,1 K↓ —
- minutes-copilotsilverstein/minutesStart and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- gantt-roadmapmohitagw15856/pm-claude-skillsTurn a plan or set of milestones into a timeline / Gantt chart. Use when asked to build a roadmap, schedule phases, show a project timeline, or visualize what happens when. Produces a ready-to-render Mermaid Gantt chart (renders live, exportable as PNG/SVG) — and, because it has real dates, the result also exports to a calendar (.ics) — plus notes on the critical path and risks.PlanificareFără avertismente★ 1,5 K↓ —
- ceo-advisoralirezarezvani/claude-skillsCEO and founder advice: company strategy, board and investor management, fundraising, org design, culture. Use whenever a CEO asks how to run the company, handle investors or board, or make a big bet.DesignFără avertismente★ 29,3 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↓ —
- 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↓ —
- cover-lettermohitagw15856/pm-claude-skillsWrite a specific, non-generic cover letter that connects your evidence to the role. Use when asked to write a cover letter, an application letter, or a note to accompany a resume. Produces a tight 3–4 paragraph letter — a real hook, two evidence paragraphs mapping your proof to the job's needs, and a confident close — tailored to the company, ready to export as a designed PDF.DocumenteFără avertismente★ 1,5 K↓ —
- minutes-lintsilverstein/minutesHealth-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- x-twitter-growthalirezarezvani/claude-skillsUse for growing on X/Twitter: tweets, threads, profile audit, competitors or posting plan. Audits the profile with profile_auditor.py, drafts with tweet_composer.py and plans posts with content_planner.py.MarketingFără avertismente★ 29,3 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↓ —
- growth-funnelkostja94/marketing-skillsWhen the user wants to plan growth using the AARRR framework, diagnose growth bottlenecks, or map actions across the customer lifecycle. Also use when the user mentions "growth funnel," "AARRR," "pirate metrics," "acquisition activation retention," "customer lifecycle metrics," or "growth framework." For retention tactics, use retention-strategy.MarketingFără avertismente★ 1,1 K↓ —
- competitor-researchkostja94/marketing-skillsWhen the user wants to analyze competitors for SEO, content, backlinks, or positioning. Also use when the user mentions "competitor analysis," "competitor research," "competitor keywords," "competitor backlinks," "link gap," "content gap," "competitor content," "competitive analysis," or "competitor comparison." For content roadmap, use content-strategy.ȘtiințăFără avertismente★ 1,1 K↓ —
cache-efficiency
hoangsonww/Claude-Code-Agent-Monitor
De la autor
Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (total_cache_read / (total_cache_read + total_input)), cache_write vs cache_read reuse, cache-read vs cache-write spend, and the sessions with the poorest reuse. Pulls token totals from /api/analytics, per-session detail from /api/sessions, and dollar splits from /api/pricing/cost. Use when diagnosing cache spend or deciding whether prompt caching is paying off.
Instalare
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill cache-efficiency -a claude-code
Se instalează în .claude/skills/cache-efficiency/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
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De ce 88
Fișiere (2)
- SKILL.md
- agents/openai.yaml