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.
47.966 de skill-uri din 2.309 depozite · actualizat acum 12 ore
47.966 de skill-uri
- dwarf-experttrailofbits/skillsAnalyzes DWARF debug information in compiled binaries. Use when inspecting .debug_* sections, DIE trees, or DW_TAG_/DW_AT_ entries with dwarfdump/llvm-dwarfdump or readelf, verifying debug info with llvm-dwarfdump --verify, answering DWARF standard questions, or writing code that parses DWARF (libdwarf, pyelftools, gimli).RedactareFără avertismente★ 7,9 K↓ —
- rust-reviewtrailofbits/skillsPerforms comprehensive Rust security review for safe/unsafe boundary issues, memory safety in unsafe blocks, concurrency hazards, panic-induced DoS, FFI safety, and async runtime mistakes. Use when auditing Rust crates, services, or libraries — particularly those with `unsafe`, FFI, or concurrent code.InginerieFără avertismente★ 7,9 K↓ —
- j-rigjeremylongshore/tons-of-skills-marketplaceInspect and use the J-Rig refiner CLI to bootstrap evaluation metadata, score a skill with an authorized provider, propose edits and inspect stored candidates. Use when improving an existing SKILL.md with evaluation evidence. Trigger with "refine this skill", "bootstrap an eval set" or "skill refiner status".RedactareFără avertismente★ 2,9 K↓ —
- miro-rate-limitsjeremylongshore/tons-of-skills-marketplaceDesign and implement repository-side Miro REST traffic controls from credit weights, supplied headers, bounded queues, and reset-aware retries. Use when preventing or recovering from Miro 429 responses. Trigger with "Miro rate limit".DesignFără avertismente★ 2,9 K↓ —
- instrument-data-to-allotropeanthropics/knowledge-work-pluginsConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.OficialDateFără avertismente★ 34 K↓ —
- ramp-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement a shared Ramp request budget with rolling-window throttling, bounded retries, pagination, and 504 recovery. Use when clients receive 429 or 504 responses or share one outbound IP. Trigger with "Ramp rate limit" or "Ramp 429".AlteleFără avertismente★ 2,9 K↓ —
- groq-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect Groq debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Groq problems. Trigger with phrases like "groq debug", "groq support bundle", "collect groq logs", "groq diagnostic".InginerieFără avertismente★ 2,9 K↓ —
- exa-observabilityjeremylongshore/tons-of-skills-marketplaceInstrument Exa calls with content-free metrics, traces, cost, and asynchronous lifecycle signals that support diagnosis without logging retrieved text. Use when operating or reviewing this Exa boundary. Trigger with "Exa observability", "review Exa observability", or "fix Exa observability".DevOpsFără avertismente★ 2,9 K↓ —
- apify-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect Apify debug evidence for support tickets and troubleshooting. Use when an Actor run has failed, is stuck, or produced empty output and you need to gather run metadata, logs, dataset samples, and environment info before opening a support ticket. Trigger with "apify debug", "apify support bundle", "collect apify logs", "apify diagnostic", "apify run failed why".InginerieFără avertismente★ 2,9 K↓ —
- cohere-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement Cohere endpoint-aware throttling, bounded retry, and queue backpressure from current limits and observed responses. Use when handling 429s or planning throughput. Trigger with "Cohere rate limit", "Cohere throttling", or "Cohere 429".PlanificareFără avertismente★ 2,9 K↓ —
- fathom-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Fathom API rate limits (60 requests/minute per user). Trigger with phrases like "fathom rate limit", "fathom 429", "fathom throttle".InginerieFără avertismente★ 2,9 K↓ —
- fathom-hello-worldjeremylongshore/tons-of-skills-marketplaceRetrieve meeting transcripts and summaries from the Fathom API. Use when fetching meeting data, testing API access, or learning Fathom API response structure. Trigger with phrases like "fathom hello world", "fathom first api call", "get fathom transcript", "fathom meeting data".TestareFără avertismente★ 2,9 K↓ —
- apollo-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Apollo.io example. Use when starting a new Apollo integration, testing your setup, or learning basic Apollo API patterns. Trigger with phrases like "apollo hello world", "apollo example", "apollo quick start", "simple apollo code", "test apollo api".TestareFără avertismente★ 2,9 K↓ —
- demo-videojeremylongshore/tons-of-skills-marketplaceGenerate polished demo videos from a single prompt. Use when the user asks to create a demo video, product walkthrough, feature showcase, or animated presentation. Trigger with "make a demo video", "create a product video", "demo walkthrough", or "feature showcase video".MediaFără avertismente★ 2,9 K↓ —
- neon-functionsneondatabase/agent-skillsLong-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASE_URL injected automatically and compute that runs next to your data. Use when a user wants to host an API, an AI agent with long streaming responses, a WebSocket or server-sent-events (SSE) server, a webhook handler, a Discord bot, an MCP server, or any request/response workload that risks timing out on short, lambda-style serverless functions — and wants it to branch with their database. Also use for Function Triggers: a cron or an object-storage event that POSTs to a function. Triggers include "serverless function", "deploy an API", "long-running function", "streaming agent", "SSE server", "WebSocket server", "webhook handler", "MCP server", "cron", "scheduled function", "object storage trigger", "on upload", "function that won't time out", "function logs", "Neon Functions", "Neon Compute", "DDoS protection", "rate limiting", and "production hardening". For live UIs over database rows, use neon-realtime.OficialDevOpsFără avertismente★ 108↓ —Apare și în 1 alt depozit
- shopify-load-scalejeremylongshore/tons-of-skills-marketplaceLoad test Shopify integrations respecting API rate limits, plan capacity with k6, and scale for Shopify Plus burst events (flash sales, BFCM). Use when preparing for high-traffic events, benchmarking API throughput, or sizing infrastructure for Shopify webhook volume. Trigger with phrases like "shopify load test", "shopify scale", "shopify BFCM", "shopify flash sale", "shopify capacity", "shopify k6 test".TestareFără avertismente★ 2,9 K↓ —
- doca-dtsNouNVIDIA/skillsDeploy and configure the NVIDIA DOCA Telemetry Service (DTS) as it is actually run: (A) BlueField (built-in static pod), (B) Host (docker) on x86_64 / aarch64, or (C) DPF (DPUService / helm chart) — plus the shared configuration layer (`dts_config.ini`, providers, exporters, level labels) that all three share. The user's DEPLOYMENT TYPE decides everything; pick it first. Trigger even without "DTS" for "prometheus on the DPU shows nothing on 9100", "telemetry container exits right after start", "add ethtool counters to the telemetry DPUService", "how do I upgrade the built-in telemetry on BlueField", or "level labels per rack/pod". Refuse and route elsewhere for installing DOCA itself, the `doca_telemetry` / `doca_telemetry_exporter` library API, installing the DPF cluster, Grafana / Prometheus server setup or dashboard / PromQL authoring, and BFB / BSP imaging — those belong to other skills or to external products.DevOpsFără avertismente★ 3,8 K↓ —
- principle-explain-the-numberbacknotprop/pstackApply before you measure, and before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.AlteleFără avertismente★ 3,2 K↓ —
- wiki-agentAr9av/obsidian-wikiSearch one AI agent's raw history for a specific topic, ingest only matching sessions, and return a synthesized answer. Use for targeted cross-agent recall; use wiki-history-ingest for bulk archival ingestion.PlanificareFără avertismente★ 3,6 K↓ —
- refactor-modulehashicorp/agent-skillsTransform monolithic Terraform configurations into reusable, maintainable modules following HashiCorp's module design principles and community best practices.OficialInginerieFără avertismente★ 910↓ —
- adobe-common-errorsjeremylongshore/tons-of-skills-marketplaceClassify Adobe failures from redacted response evidence and select the smallest bounded recovery. Use across auth, Firefly, Photoshop, PDF Services, Events, and App Builder. Use when the task requires adobe response-led error triage. Trigger with "fix Adobe error", "Adobe 403", or "Adobe API failed".DocumenteFără avertismente★ 2,9 K↓ —
- terraform-style-guidehashicorp/agent-skillsGenerate Terraform HCL code following HashiCorp's official style conventions and best practices. Use when writing, reviewing, or generating Terraform configurations.OficialDevOpsFără avertismente★ 910↓ —
- nvshmem-get-startedNVIDIA/skillsUse when NVSHMEM beginners want a tutorial-style overview on assessment, mental models, first C/C++ or Python NVSHMEM programs, compilation, launching, and next steps.InginerieFără avertismente★ 3,8 K↓ —
- writerjeremylongshore/tons-of-skills-marketplaceProfessional writing assistant for PM documents. Use when the user needs to create, draft, review, or polish briefs, updates, emails, or presentations. Trigger with "write", "draft", "document", "help me write", "create a brief", or "polish this".RedactareFără avertismente★ 2,9 K↓ —
pyopenms
foryourhealth111-pixel/Vibe-Skills
DateActualizat acum 5 zile
De la autor
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.
Instalare
npx skills add foryourhealth111-pixel/Vibe-Skills --skill pyopenms -a claude-code
Se instalează în .claude/skills/pyopenms/ · 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 instrucțiuniFolosește rețeauaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (7)
- SKILL.md
- references/data_structures.md
- references/feature_detection.md
- references/file_io.md
- references/identification.md
- references/metabolomics.md
- references/signal_processing.md