全部能力

Interactive session to craft a system prompt for an AI agent powered by Sanity Agent Context MCP. Use this skill when users want to define agent personality,…

Configure HTTP security headers including CSP, HSTS, X-Frame-Options, and XSS protection. Use when hardening web applications against common attacks.

Analyzes RFP/RFI responses for coverage gaps, builds competitive feature comparison matrices, and plans proof-of-concept (POC) engagements for pre-sales…

Essential Git patterns for effective version control, eliminating redundant Git guidance per agent.

implement_plan — an installable skill for AI agents, published by parcadei/continuous-claude-v3.

Best practices for using agent-browser with Kernel cloud browsers. Use when automating websites with agent-browser -p kernel, dealing with bot detection,…

Write, validate, and optimise PromQL queries for Prometheus and Grafana Cloud Metrics. Use when

Core package for defining schemas, catalogs, and AI prompt generation for json-render. Use when working with @json-render/core, defining schemas, creating…

Framework for collective skill evolution in multi-user LLM agent ecosystems — automatically distills session experience into reusable SKILL.md files and shares…

Create and use Claude Code slash commands - quick prompts, bash execution, file references

Interactive workspace discovery - learn what tools, workflows, agents, and hooks are available

Synapse A2A agent communication -- sending messages, spawning agents, delegating tasks, sharing memory, managing the LLM wiki, and coordinating file edits. Use…

智能体编排模式，用于智能体循环、多智能体协调、替代框架和多场景工作流。在构建自主系统时使用…

Kalshi prediction markets — events, series, markets, trades, and candlestick data. Public API, no auth required for reads. US-regulated exchange (CFTC). Covers football (EPL, UCL, La Liga), basketball, baseball, tennis, NFL, hockey event contracts. Use when: user asks about Kalshi-specific markets, event contracts, CFTC-regulated prediction markets, or candlestick/OHLC price history on sports outcomes. Don't use when: user asks about actual match results, scores, or statistics — use the sport-specific skill: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cfb-data (college football), cbb-data (college basketball), or fastf1 (F1). Don't use for general "who will win" questions unless Kalshi is specifically mentioned — try polymarket first (broader sports coverage). Don't use for news — use sports-news instead.

Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward…

Extract a learned skill from the current conversation

Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/,…

Expert-level supply chain management, logistics optimization, warehouse systems, and fleet management

Generate beautiful code snippet images using ray.so. This skill should be used when the user asks to create a code image, code screenshot, code snippet image,…

python-development-python-scaffold — an installable skill for AI agents, published by sickn33/antigravity-awesome-skills.