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 9 ore
49.409 skill-uri
- sosp-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a SOSP submission for HotCRP readiness, covering the abstract-registration and full-paper deadlines, the 12-page technical-content limit with references excluded, the 7x9-inch two-column format, double-blind rules with paper-ID substitution, conflict declaration under PC-chair audit, and desk-reject triage.ȘtiințăFără avertismente★ 1,4 K↓ —
- gentle-ai-chained-prGentleman-Programming/gentle-shellTrigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.InginerieFără avertismente★ 1,5 K↓ —
- vuln-triagemohitagw15856/pm-claude-skillsTriage a vulnerability or scanner finding — assess real severity, exploitability, and how urgently to fix. Use when asked to triage a CVE, prioritize scanner/pentest findings, assess a vuln's risk, or decide what to patch first. Produces a triage verdict: CVSS-informed severity adjusted for your context, exploitability, real risk, a fix/mitigation, and an SLA — so you fix what matters, not just what's red.SecuritateFără avertismente★ 1,5 K↓ —
- grill-mealirezarezvani/claude-skillsInterview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".TestareFără avertismente★ 29,2 K↓ —
- tos-decodermohitagw15856/pm-claude-skillsDecode a terms of service or privacy policy into what you're actually agreeing to, ranked by real-world impact. Use when someone asks 'what am I agreeing to', 'decode this privacy policy', 'is this ToS bad', or 'should I click accept'. Produces a ranked findings table with a 'should I care?' verdict per finding, covering data resale, arbitration and class-action waivers, unilateral changes, content licenses, and what deletion really means.AlteleFără avertismente★ 1,5 K↓ —
- make-video-adsgooseworks-ai/goose-skillsUse when the marketer says: make me a video ad, a 30-second ad for paid social, a Reel / TikTok / Shorts ad, a UGC-style video made with AI (no real creator), a product demo video, remake this ad I like for my brand, cut our best organic video into an ad, more like my winning video with new hooks, my video ad got rejected — fix it. Delivers a produced, ready-to-post video ad grounded in a researched angle: one message, a hook for the first two seconds, every claim traced to the brand's signed-off claims, no generated person posing as a customer, the exact words and the price approved before anything renders (one video, or one plus two hook variants), an honest review of the result, priced fixes only on a yes, and launch copy and notes for the ads team. Works in chat apps. Never publishes or spends ad budget. Not for real creators filming for you — work-with-creators (unsure? ask: AI-made or a real person); not for a phone-shot organic post — run-organic-social; not for static ads — make-static-ads.MediaFără avertismente★ 1,3 K↓ —
- ndss-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when performing the final pre-upload audit of an NDSS submission — HotCRP fields, the AoE deadline, NDSS template and 13-page compliance, double-blind sweep, ethics readiness, the six-per-author cap, overlap rules, and desk-reject triage in the last week.JuridicFără avertismente★ 1,4 K↓ —
- oma-securityfirst-fluke/oh-my-agentScan application source, agent skills, and MCP components; run penetration tests against scoped web test deployments, validate findings, and configure scan gates. Use oma-qa for broad quality reviews and domain skills for remediation.SecuritateFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- hyperframes-cliheygen-com/hyperframesThe HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from build or render failures.OficialInginerieVerifică întâi★ 78,1 K↓ —
- sci-abstractbrycewang-stanford/Awesome-Journal-SkillsUse when writing the two front-matter artifacts Science (AAAS) demands — the one-sentence summary for the table of contents and the ≤125-word single-paragraph abstract — both readable by any scientist and both leading with the quantified advance rather than the method. Late-stage polish skill for the flagship AAAS weekly.ȘtiințăFără avertismente★ 1,4 K↓ —
- pricing-strategistalirezarezvani/claude-skillsUse when choosing or revisiting pricing: seat, usage, value-based, freemium or hybrid, Van Westendorp willingness-to-pay analysis, or Good/Better/Best tiers. Runs pricing_model_picker.py, wtp_analyzer.py and packaging_designer.py and returns a range, not one number.AlteleFără avertismente★ 29,2 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↓ —
- 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↓ —
- oma-searchfirst-fluke/oh-my-agentFind external documentation, web sources, or remote code with citations. Local code navigation uses the configured code tools.InginerieFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- agm-in-a-boxmohitagw15856/pm-claude-skillsRun a club, PTA, or association AGM that finishes on time and holds up later — the notice and agenda done right, a quorum plan, minutes that capture decisions not conversations, elections without awkwardness, and the follow-up that makes decisions real. Use when a volunteer says 'I have to run the AGM', 'what goes in the agenda', 'nobody comes to our meetings', or 'our elections are a mess'. Produces the notice, agenda, chair's script, minutes template, and quorum rescue plan.PlanificareFără avertismente★ 1,5 K↓ —
- openmeld-cliamplifthq/openmeldUse OpenMeld through its public CLI to work in Spaces, reply to a Wake, consult the Center Agent, connect this computer, manage Agent Profiles, or diagnose delivery.InginerieFără avertismente★ 1,4 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↓ —
- runtime-adaptersagentlas-ai/Agentlas-OSUse when creating Codex, Claude Code, Antigravity, Cursor, or AGENTS.md runtime adapters from one canonical agent core. Use whenever a generated repo needs multiple AI runtimes without duplicating instructions.InginerieFără avertismente★ 1,6 K↓ —
- oma-debugfirst-fluke/oh-my-agentDiagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.InginerieFără avertismente★ 1,4 K↓ —Apare și în 2 alte depozite
- hep-stormagentlas-ai/Agentlas-OSRun a force-robust Stormbreaker loop — route to real agents, execute a verified pipeline to completion.AlteleFără avertismente★ 1,6 K↓ —
- fixing-flaky-testsamplifthq/openmeldGuides an agent through reproducing, root-causing, fixing, and validating flaky tests in the PostHog monorepo. Use when a test fails intermittently in CI but passes on rerun or locally, when `hogli ci:insights` or the debugging-ci-failures skill classifies a failure as a flaky test, when given a GitHub Actions URL for a flaky job, when asked to check Trunk Flaky Tests for a test, PR, or master, or when asked to deflake, stabilize, or fix a flaky Jest, pytest, or Playwright test. Core discipline: reproduce locally before changing anything, fix the root cause (never mask it with sleeps, retries, or bigger timeouts), and prove the fix with an N-run validation loop sized to the observed failure rate. Stabilizing is not the only valid outcome — the skill also gates whether the test should exist, so deleting a test that catches nothing real, or re-leveling one that flakes because of the level it runs at, are first-class endings.TestareFără avertismente★ 1,4 K↓ —
- design-system-compliancereticlehq/reticleCheck that the UI you actually rendered uses the design system, by reading computed styles in the running app against the project's design tokens. Catches hardcoded hex colors, off-palette backgrounds, invisible or unusable controls, and animations that never ran. Use after building or restyling a component, when a design review is wanted, when a UI looks slightly off but nobody can say why, or when a design system exists and nothing checks whether the code follows it.DesignFără avertismente★ 1,3 K↓ —
- tddhashgraph-online/awesome-codex-pluginsUse when implementing or fixing production code with tests.TestareFără avertismente★ 1,5 K↓ —
calendar-defrag
mohitagw15856/pm-claude-skills
ProductivitateActualizat acum 20 de ore
De la autor
Defragment a work calendar through a tool-using agent — find the meeting debt, propose the consolidation, and (approval-gated) execute the moves. Use when asked to defrag my calendar, get me focus time, audit my meetings, or fix my week. Produces the calendar audit (cost per meeting, fragmentation map), a defrag proposal with focus blocks, and an approval-gated execution plan.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill calendar-defrag -a claude-code
Se instalează în .claude/skills/calendar-defrag/ · 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
Niciun avertisment.
De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (2)
- SKILL.md
- references/worked-example.md