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Found 2,465 Skills
Use this skill to query Solana blockchain data via the Solscan Pro API. Triggers: look up wallet address, check token price, analyze NFT collection, inspect transaction, explore DeFi activities, get account metadata/label/tags, fetch block info, monitor API usage, search token by keyword.
Search and ask questions about your coding agent session history. Use when asking what you worked on, what was tried before, how a problem was investigated across sessions, what happened recently, or any question about past agent sessions. Also use when the user references prior sessions, previous attempts, or past investigations — even without saying 'sessions' explicitly.
Security audit and vulnerability scanning for AI agent skills before installation. Detects prompt injection in SKILL.md files, dangerous code patterns (eval, exec, subprocess), network exfiltration, credential harvesting, dependency supply chain risks, file system boundary violations, and obfuscation. Produces PASS/WARN/FAIL verdicts with remediation guidance. Use when evaluating untrusted skills, pre-install security gates, or auditing skill repositories.
Use when the user wants to update, refresh, or reinstall the CopilotKit agent SKILLS (the SKILL.md files that teach this agent about CopilotKit). NOT for updating the CopilotKit codebase or project — this is specifically about refreshing the skills/knowledge this agent has loaded. Triggers on "update copilotkit skills", "update skills", "refresh skills", "skills are stale", "skills are outdated", "get latest skills", "my copilotkit knowledge is wrong", "copilotkit APIs changed", "skills seem old", "wrong API names", "reinstall skills", "skills not working right", "update your copilotkit knowledge".
Onboarding guide for new team members in the agile flow with AI. Use when someone new joins the team and needs to understand how the planning, execution, and tracking flow works with AI agents.
The house format and rules for writing or updating an agentmemory skill. Use when adding a new skill, restructuring an existing one, or reviewing a skill contribution for consistency.
Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.
Systematically review AI agent work for quality, accuracy, and completeness. Catches bugs, verifies patterns, checks against requirements, and suggests improvements before committing changes.
Manage OpenClaw bot configuration - channels, agents, security, and autopilot settings
LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications
Complete AI agent operating system setup with Kanban task management. Use when setting up multi-agent coordination, task tracking, or configuring an agent team. Includes theme selection (DBZ, One Piece, Marvel, etc.), workflow enforcement (all tasks through board), browser setup, GitHub integration, and memory enhancement (Supermemory, QMD).
Access paid services (verification, search, AI models, images, audio, browser automation) for AI agents via Sapiom. Use when building agents that need to verify phone/email, search the web, call AI models, generate images, convert text-to-speech, or automate browsers — without setting up vendor accounts.