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 5 ore
49.409 skill-uri
- itcs-workflowbrycewang-stanford/Awesome-Journal-SkillsUse to plan an ITCS campaign end to end on its single annual cycle — backward from the early-September deadline through the no-rebuttal review, the November notification, the LIPIcs camera-ready, and the January conference with its Graduating Bits session.ProductivitateFără avertismente★ 1,4 K↓ —
- podc-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM PODC campaign end to end — running the single annual cycle backward from the February deadline through abstract registration, lightweight double-blind review, the late-April notification, the May camera-ready, and the arXiv full version — and coordinating the regular-paper-vs-Brief-Announcement decision along the way.ProductivitateFără avertismente★ 1,4 K↓ —
- shophashgraph-online/awesome-codex-pluginsSell things in a Homie studio's games with the studio's OWN Stripe - a supporter pack, cosmetics, a season pass, a one-time unlock, a tip, a round of several items to a table, a paid booking with slot capacity, monthly giving or a membership - in real money, with Stripe Checkout, Stripe Tax or Stripe Managed Payments, refunds from the office, and optional studio policies with an open default; set up with Stripe's own agent tools (Stripe's MCP server and skills) with one browser approval and Payment Links by default, no human-handled key and no API key in the Worker. Use when someone asks to sell something, add a shop or store, take payments or donations, take paid bookings, set up monthly giving or memberships, make money from a game, set up or connect Stripe, make the products in Stripe, asks "how are sales?", about tax or Managed Payments, to add a supporter badge, refund a player, or about chargebacks.BrowserFără avertismente★ 1,5 K↓ —
- calendar-defragmohitagw15856/pm-claude-skillsDefragment 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.ProductivitateFără avertismente★ 1,5 K↓ —
- redis-securityredis/agent-skillsRedis security guidance covering authentication (requirepass and ACL users), TLS, ACL-based least-privilege access control, restricting network exposure via bind and protected-mode, firewall rules, and disabling dangerous commands. Use when deploying Redis to production, defining ACL users for an application, configuring TLS connections, locking down a Redis instance behind a firewall, or auditing a Redis deployment for security hardening.OficialSecuritateFără avertismente★ 172↓ —Apare și în 1 alt depozit
- setting-up-relayfileAgentWorkforce/relayUse when an agent or human needs to set up relayfile end-to-end so agents can read and write provider files through a local mount. Covers `relayfile setup`, dynamic integration discovery with `relayfile integration available/search`, Nango and Composio backend selection, Atlassian site selection and metadata, cloud login, OAuth/connect flows, mount verification, `RELAYFILE_LOCAL_DIR` handoff, writeback status and retry commands, and key May 2026 cloud-mount gotchas.RedactareFără avertismente★ 1,1 K↓ —
- parallel-executionCloudAI-X/claude-workflow-v2Patterns for parallel subagent execution using the Agent tool (formerly Task). Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.ProductivitateFără avertismente★ 1,4 K↓ —
- designing-apisCloudAI-X/claude-workflow-v2Designs REST and GraphQL APIs including endpoints, error handling, versioning, and documentation. Use when creating new APIs, designing endpoints, reviewing API contracts, or when asked about REST, GraphQL, or API patterns.InginerieFără avertismente★ 1,4 K↓ —
- orchestrating-agent-relayAgentWorkforce/relayThe canonical way to run agent-relay - self-bootstrap the local broker and autonomously spawn, monitor, and coordinate a team of worker agents without human intervention. Covers infrastructure startup, agent spawning, lifecycle monitoring, message-based reading via the relay MCP, and team coordination.DevOpsFără avertismente★ 1,1 K↓ —
- cold-emailalirezarezvani/claude-skillsUse for any cold outreach or SDR email or follow-up sequence to prospects who did not opt in, before drafting. Scores the sequence for length, personalization and spam risk with email_sequence_analyzer.py. Opted-in nurture: email-sequence.ProductivitateFără avertismente★ 29,2 K↓ —
- add-opencodenanocoai/nanoclawUse OpenCode as an agent provider. OpenRouter, OpenAI, Google, DeepSeek, etc. via OpenCode config — not the Anthropic Agent SDK. Per group via `ncl groups config update --provider opencode`; host passes OPENCODE_* and XDG mount when spawning containers.AlteleFără avertismente★ 31,1 K↓ —
- nopua-zhwuji-labs/nopuaThe anti-PUA. Drives AI with wisdom, trust, and inner motivation instead of fear and threats. Activates on: task failed 2+ times, about to give up, suggesting user do it manually, blaming environment unverified, stuck in loops, passive behavior, or user frustration ('try harder', 'figure it out', '换个方法', '为什么还不行'). ALL task types. Not for first failures.ProductivitateFără avertismente★ 1,4 K↓ —
- rss-writing-stylebrycewang-stanford/Awesome-Journal-SkillsJournal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。RedactareFără avertismente★ 1,4 K↓ —
- 01-graders-and-pipelineagentscope-ai/OpenJudgeBuild custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.DesignFără avertismente★ 1 K↓ —
- icml-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when stress-testing ICML experimental evidence before submission or rebuttal, including strong tuned baselines, mechanism-isolating ablations, seed variance and confidence intervals, compute disclosure, data leakage and split construction, reproducibility, negative results, and fit to ICML soundness, originality, and significance scoring.TestareFără avertismente★ 1,4 K↓ —
- wrap-upalirezarezvani/claude-skillsUse when closing out a launched managed agent ('wrap up', 'what do I own now'). Inventories primitives with primitives_inventory.py, regenerates the overview with overview_page.py and suggests next upgrades with upgrade_suggester.py.AlteleFără avertismente★ 29,2 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↓ —
- icdt-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ICDT (International Conference on Database Theory) regular-paper submission for Microsoft CMT readiness, covering the two-step abstract-then-paper deadline in the correct submission cycle, the lipics-v2021 15-page limit excluding references, the clearly-marked appendix read at the PC's discretion, anonymous submission since 2024, the complete-proofs / full-version expectation, and which submission problems are unfixable after the AoE cutoff.DateFără avertismente★ 1,4 K↓ —
- ai-model-wechatActualizatTencentCloudBase/CloudBase-AI-ToolkitUse this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, wx.cloud apps). Covers generateText and streamText with callbacks (onText, onEvent, onFinish); streamText needs a data wrapper, generateText returns the raw response. Models via wx.cloud.extend.AI.createModel with groups cloudbase (main managed, also 小程序成长计划 with `hy3`), the legacy hunyuan-v3 / hunyuan-exp, or custom-*; model id goes in the data wrapper `model` field. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (use ai-model-nodejs).BrowserFără avertismente★ 1,2 K↓ —
- colm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing a COLM submission on OpenReview — the late-March abstract and full-paper deadlines, the strict 9-page main text, double-blind rules banning acknowledgments and identity links, the Code of Ethics acknowledgment, LLM-usage disclosure, reciprocal-reviewer nomination, and pre-upload risk triage.ȘtiințăFără avertismente★ 1,4 K↓ —
- tddNouhashgraph-online/awesome-codex-pluginsWhen a bug can be caught by an inexpensive local test, write that narrow failing test before the fix, check that it fails because of the bug, then fix the code and watch the test pass. Use on /tdd, "write a failing test first", "add a regression test", or when a bug has an obvious inexpensive test location.TestareFără avertismente★ 1,5 K↓ —
- popl-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing a POPL submission for the single July HotCRP deadline — auditing the 25-pages-of-text acmsmall cap, summary-rejection format rules, full double-blind hygiene for theory papers with public proof repositories, dual-submission exposure, and the final-days upload order before the AoE cutoff.ProductivitateFără avertismente★ 1,4 K↓ —
- hivemindalirezarezvani/claude-skillsUse when delegating grunt work to free opencode workers instead of spending Claude tokens: one worker or a scout, coder and tester swarm in worktrees. Triggers on 'spawn a worker', 'swarm', 'delegate to opencode' or /oc.AlteleFără avertismente★ 29,2 K↓ —
- sales-engineeralirezarezvani/claude-skillsUse for pre-sales work: RFP coverage gaps, competitive feature matrices or planning and scoring a proof of concept. Runs rfp_response_analyzer.py, competitive_matrix_builder.py and poc_planner.py.PlanificareFără avertismente★ 29,2 K↓ —
search
taishi-i/awesome-japanese-nlp-resources
AlteleActualizat ieri
De la autor
Search all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.
Instalare
npx skills add taishi-i/awesome-japanese-nlp-resources --skill search -a claude-code
Se instalează în .claude/skills/search/ · 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: CC0-1.0
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De ce 88
Securitate100
Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (2)
- SKILL.md
- agents/openai.yaml