Agent Skills

Agent Development

✓★ 136,353

by anthropic

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

finalize-agent-prompt

✓★ 36,202

by github

Finalize prompt file using the role of an AI agent to polish the prompt for the end user.

acreadiness-assess

✓★ 36,202

by github

Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.

cli-mastery

✓★ 36,202

by github

Interactive training for the GitHub Copilot CLI. Guided lessons, quizzes, scenario challenges, and a full reference covering slash commands, shortcuts, modes, agents, skills, MCP, and configuration. Say "cliexpert" to start.

tear-sheet

✓★ 33,111

by anthropic

Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or ticker. Also trigger when users ask for equity research summaries, M&A company profiles, corporate development target profiles, sales/BD meeting prep documents, or any concise single

plugin-structure

✓★ 31,611

by anthropic

This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${CLAUDE_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Claude Code plugin architecture best practices.

agent-development

✓★ 31,611

by anthropic

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

session-report

✓★ 31,611

by anthropic

Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from ~/.claude/projects transcripts.

maintainer-review

✓★ 27,670

by openai

Review a GitHub issue or pull request URL as an openai-agents-python maintainer, with a staged assessment of whether the claim is real, practically important, already solvable with supported functionality, correctly scoped, better served by another design, and worth maintainer and contributor effort. Use when assessing issue validity or severity, deciding whether an issue should be prioritized or closed, determining whether a requested feature represents an unmet need rather than a discoverabili

final-release-review

✓★ 27,670

by openai

Perform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes, regressions, improvement opportunities, and risks before releasing openai-agents-python.

migrate-to-codex

✓★ 23,283

by openai

Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.

troubleshoot

✓★ 9,980

by microsoft

Investigate unexpected chat agent behavior by analyzing direct debug logs in JSONL files. Use when users ask why something happened, why a request was slow, why tools or subagents were used or skipped, or why instructions/skills/agents did not load.

huggingface-llm-trainer

✓★ 4,081

by openai

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for

nemoclaw-user-get-started

✓★ 4,081

by openai

Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time. Trigger keywords - nemoclaw quickstart, install nemoclaw openclaw sandbox, nemohermes quickstart, hermes agent nemoclaw, run hermes openshell sandbox, nemoclaw prerequisites, nemoclaw supported platforms, nemoclaw hardware software, nemoclaw windows wsl2 setup, nemoclaw install windows docker desktop.

subagent-driven-development

✓★ 4,081

by openai

Use when executing implementation plans with independent tasks in the current session

huggingface-trackio

✓★ 4,081

by openai

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.

transformers-js

✓★ 4,081

by openai

Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and multimodal tasks. Works in Node.js and browsers (with WebGPU/WASM) using pre-trained models from Hugging Face Hub.

triage-issue

✓★ 4,081

by openai

Intelligently triage bug reports and error messages by searching for duplicates in Jira and offering to create new issues or add comments to existing ones. When an agent needs to: (1) Triage a bug report or error message, (2) Check if an issue is a duplicate, (3) Find similar past issues, (4) Create a new bug ticket with proper context, or (5) Add information to an existing ticket. Searches Jira for similar issues, identifies duplicates, checks fix history, and helps create well-structured bug r

twilio-agent-augmentation-architect

✓★ 4,081

by openai

Planning skill for augmenting human agents with real-time AI intelligence. Qualifies the developer's use case across coaching, compliance, QA, and routing to recommend the right Conversation Intelligence + Conversation Memory + TaskRouter architecture. Handles both "I want to add AI coaching to my call center" and "configure Conversation Intelligence operators for script adherence."

twilio-agent-connect

✓★ 4,081

by openai

Use when building or integrating Twilio Agent Connect (TAC) to connect third-party LLM agent runtimes with Twilio Voice, Messaging, ConversationRelay, Conversation Memory, Conversation Orchestrator, or Enterprise Knowledge.

twilio-ai-agent-architect

✓★ 4,081

by openai

Planning skill for AI-powered conversational agents. Qualifies the developer's use case across outcome sophistication, entry point, and customer profile to recommend the right Twilio Conversations architecture and implementation skills. Handles both high-level requests ("build me a voice AI assistant") and specific ones ("integrate ConversationRelay with my OpenAI backend").

twilio-customer-memory

✓★ 4,081

by openai

Store and retrieve customer context using Twilio Conversation Memory. Covers Memory Store provisioning, profile management, traits, observations, conversation summaries, and semantic Recall. Use this skill to give AI agents or human agents persistent memory of customer interactions across sessions and channels.

twilio-customer-support-architect

✓★ 4,081

by openai

Planning skill for building customer service and support systems. Qualifies the developer's needs across the support ladder (self-service → AI agents → contact center), channel mix, and scale to recommend the right Twilio architecture. Handles both "build me a call center" and "add an IVR to my existing support line."

twilio-enterprise-knowledge

✓★ 4,081

by openai

Add knowledge retrieval to AI agents using Twilio's Enterprise Knowledge product. Enterprise Knowledge is a centralized, searchable repository of your organization's documents, websites, and content — FAQs, support policies, warranty terms, product catalogs. Current models don't have access to how you run your business today. Enterprise Knowledge gives agents a way to query this repository during a conversation and ground their responses in your actual approved source material. This skill covers

twilio-numbers-senders

✓★ 4,081

by openai

Choose the right Twilio number type and sender BEFORE building. Covers phone numbers (local, toll-free, short code, mobile), alphanumeric sender IDs, WhatsApp senders, RCS agents, international availability, and regulatory bundles. Each number type has its own compliance program — choosing wrong means rebuilding. Use this skill first.

twilio-voice-conversation-relay

✓★ 4,081

by openai

Build AI-powered voice agents using Twilio ConversationRelay. Handles real-time speech recognition (ASR), text-to-speech (TTS), and bidirectional audio streaming via WebSocket. Covers TwiML setup, WebSocket message types, LLM integration, streaming responses, and voice provider configuration. Use this skill to build voice bots, IVR replacements, or real-time AI voice assistants on Twilio calls.

twilio-voice-outbound-calls

✓★ 4,081

by openai

Make outbound phone calls via Twilio's Programmable Voice REST API. Covers the full voice platform: calls.create(), answering machine detection (AMD), conference-based agent bridging, call recording, status tracking, and SIP Trunking. Use this skill for outbound calls, sales dialers, or when asking what voice APIs are available.

vercel-sandbox

✓★ 4,081

by openai

Vercel Sandbox guidance — ephemeral Firecracker microVMs for running untrusted code safely. Supports AI agents, code generation, and experimentation. Use when executing user-generated or AI-generated code in isolation.

build-zoom-virtual-agent

✓★ 4,081

by openai

Use when using Virtual Agent.

huggingface-vision-trainer

✓★ 4,081

by openai

Trains 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, Tr