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.
22.972 de skill-uri din 857 de depozite · actualizat acum 9 minute
1.474 de skill-uri
- matlab-call-nidaqmxmatlab/matlab-agentic-toolkitTranslate NI-DAQmx C function signatures into correct calldaqlib MATLAB calls. Use when the user mentions calldaqlib, any DAQmx* C function name (DAQmxCfgSampClkTiming, DAQmxExportSignal, DAQmxSetStartTrigRetriggerable, DAQmxGetSampClkRate, etc.), or needs NI-DAQmx functionality not exposed by the daq object. Covers: projection rules (taskHandle implicit, output pointers become return values, buffer-size args, enum-as-string), multi-task semantics, start() clobber, device-level empty-daq workaround, dictionary returns, string getter placeholder, array getter placeholder. Trigger contexts: low-level DAQ, escape hatch, retriggerable acquisition, shared timebase, export signal, connect terminals, external sample clock, trigger configuration, NI driver, C function translation.ProductivitateFără avertismente★ 1,2 K↓ —
- fxmacrodataAnil-matcha/awesome-muse-connectorsMacroeconomic releases, release calendars, and FX spot rates from official sources. Read-only. Trigger phrases: fxmacrodata, cpi release, inflation data, non-farm payrolls, policy rate, economic calendar, fx rate.ProductivitateFără avertismente★ 1,4 K↓ —
- supermemoryAnil-matcha/awesome-muse-connectorsStore and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings. Trigger phrases: supermemory, memory engine, remember this.ProductivitateFără avertismente★ 1,4 K↓ —
- sendgridAnil-matcha/awesome-muse-connectorsSend email with SendGrid: send mail, check stats and profile. Trigger phrases: sendgrid, send an email via sendgrid.ProductivitateFără avertismente★ 1,4 K↓ —
- nopuawuji-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↓ —
- todoistAnil-matcha/awesome-muse-connectorsList tasks, create tasks, and complete them in Todoist. Trigger phrases: todoist, my tasks, add a task, todo list.ProductivitateFără avertismente★ 1,4 K↓ —
- clickupAnil-matcha/awesome-muse-connectorsList ClickUp workspaces and tasks, and create tasks. Trigger phrases: clickup, clickup tasks, my clickup list.ProductivitateFără avertismente★ 1,4 K↓ —
- resendAnil-matcha/awesome-muse-connectorsSend email through Resend and check delivery status. Trigger phrases: resend, send email, transactional email.ProductivitateFără avertismente★ 1,4 K↓ —
- asanaAnil-matcha/awesome-muse-connectorsRead and manage Asana tasks: my tasks, task details, create tasks. Trigger phrases: asana, my tasks, task list, todo.ProductivitateFără avertismente★ 1,4 K↓ —
- zepAnil-matcha/awesome-muse-connectorsWork with Zep's temporal memory: create users and threads, append messages, read distilled facts and history. Trigger phrases: zep, knowledge graph memory, conversation memory.ProductivitateFără avertismente★ 1,4 K↓ —
- unit-economicsmohitagw15856/pm-claude-skillsModel the unit economics of a business — CAC, LTV, payback, contribution margin — from real inputs. Use when asked to calculate unit economics, work out LTV:CAC, find the payback period, or check whether a business model is viable per customer. Produces a computed unit-economics summary (LTV, CAC, ratio, payback, contribution margin) with a verdict and the levers that move it most.ProductivitateFără avertismente★ 1,5 K↓ —
- token-costmohitagw15856/pm-claude-skillsMeasure before optimizing — estimate token counts locally with stated heuristics, price them at your model's rates, and quantify before/after savings, because token optimization without measurement is vibes. Use when asked how many tokens is this, what does this context cost per call, is this optimization worth it, or compare these two versions' cost. Produces the estimate with both heuristics shown, the cost math at your prices across your call volume, and the before/after comparison that decides whether an optimization earned its complexity.ProductivitateFără avertismente★ 1,5 K↓ —
- local-llmcoco-research/cocoUse when working with this machine's local LLM setup (LM Studio + mlx-dspark) -- checking status, changing context window, diagnosing a reasoning hang or dead request, understanding RAM/speed tradeoffs, or wiring a new script to the local inference endpoint.ProductivitateFără avertismente★ 961↓ —
- pmstudio-changelogcoco-research/cocoCreate or update a structured change log for a product or platform. Use when someone asks to "create a change log", "log this change", "what changed", "update the change log", "release notes", or "changelog". Reads project memory (CLAUDE.local.md Recent Changes) and meeting notes to build chronological change records. Supports init (backfill from memory), update (append new entries), and release (summarize for a version).ProductivitateFără avertismente★ 961↓ —
- media-memorycoco-research/cocoUse when the user sends or generates an image, screenshot, video, audio or file and wants it saved, or asks to find past media (that diagram, the mockup from last week). Ingests and searches with local ChromaDB embeddings.ProductivitateFără avertismente★ 961↓ —
- pmstudio-meeting-notescoco-research/cocoGenerate structured meeting notes from transcripts or pasted text. Use when someone says "meeting notes", "process this transcript", "summarize this call", "notes from today's meeting", or pastes/references a meeting transcript. Auto-enriches attendees from stakeholder directory, routes output to correct project subfolder, flags downstream artifact impacts (PRD, deck, architecture), and proposes CLAUDE.local.md updates. Produces date-first Markdown files.ProductivitateFără avertismente★ 961↓ —
- m0-recallcoco-research/cocoUse when the user asks m0 recall, where were we, what did we do last time, catch me up, what is next, or to resume context from another tool. Reads the recent M0 operational thread per project, newest first, from the M0 daemon.ProductivitateFără avertismente★ 961↓ —
- gsd-add-todococo-research/cocoUse when an idea, task, or issue surfaces mid-session and the user wants it captured as a todo instead of doing it now. Infers the area, checks duplicates, and writes the todo file plus a STATE.md update.ProductivitateFără avertismente★ 961↓ —
- brain:initcoco-research/cocoUse when setting up project memory in a new folder or on the first brain:init in a project. Creates project_brain.db, registers the project, and bootstraps it from CLAUDE.local.md, memory files, docs, and emails; safe to re-run.ProductivitateFără avertismente★ 961↓ —
- naming-analyzersoftaworks/agent-toolkitSuggest better variable, function, and class names based on context and conventions.ProductivitateFără avertismente★ 2,6 K↓ —
- cognee:recallcoco-research/cocoUse when the user says 'cognee recall', 'search memory', 'what do we know about', 'find related', or 'graph search'. Runs semantic, graph, and lexical search across the Cognee knowledge graph and injects results as agent context.ProductivitateFără avertismente★ 961↓ —
- gsd-milestone-summarycoco-research/cocoUse when onboarding someone to a finished milestone or preparing a team review. Reads ROADMAP, REQUIREMENTS, CONTEXT, SUMMARY, and VERIFICATION artifacts into one MILESTONE_SUMMARY in .planning/reports/, then offers Q&A.ProductivitateFără avertismente★ 961↓ —
- simulink-run-parallel-simulationsmatlab/simulink-agentic-toolkitUse this skill to run multiple Simulink simulations in parallel with parsim, batchsim, and DesignStudy. TRIGGER when: user asks for parameter sweep, sweeping/varying parameters across simulations, Monte Carlo study, batch simulation, running multiple simulations, parallel simulations, large-scale multiple simulations, any task involving repeated simulations with different parameter values, user mentions having an existing script/function for parameter sweeps, or user wants to migrate from parfor/set_param/for-loop patterns to recommended workflows.ProductivitateFără avertismente★ 1,3 K↓ —
- jirasoftaworks/agent-toolkitUse when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.ProductivitateFără avertismente★ 2,6 K↓ —