全部能力

Maintains awareness across sessions. Spawns observer agent on start, loads context, notifies of evolution opportunities.

llm-context — an installable skill for AI agents, published by brave/brave-search-skills.

Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user…

Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP…

MCP 服务器构建方法论 — 系统化构建生产级 MCP 工具，让 AI 助手连接外部能力

Manage context-mode GitHub issues, PRs, releases, and marketing with parallel subagent army. Orchestrates 10-20 dynamic agents per task. Use when triaging…

Load groove workflow context into the conversation. Run at the start of every session.

Integrate installed skill usage guidance into project CLAUDE.md/AGENTS.md based on project context. Use when skills are installed but agents don't know when to…

Create and maintain the marketing context document that all marketing skills read before starting. Use when the user mentions 'marketing context,' 'brand…

Purge the context-mode knowledge base. Permanently deletes all indexed content and resets session stats. This is destructive and cannot be undone. Trigger: /context-mode:ctx-purge

Re-inject Synapse A2A initial instructions after context has been cleared. Use this skill when the agent has lost its identity, A2A communication protocol, or configuration after /clear or context reset, when synapse send/reply commands stop working, or when the agent no longer recognizes its SYNAPSE_AGENT_ID. Triggered by /synapse-reinst command.

This skill helps agents use Figma's use_figma MCP tool in the FigJam context. Can be used alongside figma-use which has foundational context for using the…

Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context during…

Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating…

Polish code changes by recovering context, checking against codebase guidelines, removing AI slop, and running review. Use when finalizing work on a branch…

Hand off to a fresh Claude session. Use when context is full, you've finished a logical chunk of work, or need a fresh perspective. Work continues from hook.

Monitors context window health throughout a session and rides peak context quality for maximum output fidelity. Activates automatically after plan-interview and intent-framed-agent. Stays active through execution and hands off cleanly to simplify-and-harden and self-improvement when the wave completes naturally or exits via handoff. Use this skill whenever a multi-step agent task is underway and session continuity or context drift is a concern. Especially important for long-running tasks, complex refactors, or any work where degraded context would silently corrupt the output. Trigger even if the user doesn't say "context surfing" — if an agent task is running across multiple steps with intent and a plan already established, this skill is live.

Use `orca orchestration` when coordinating multiple AI agents through Orca: pass context, instructions, questions, findings, reviews, handoffs, or structured results between agents; delegate subtasks; dispatch work; track task DAGs; wait for worker_done/escalation; or run coordinator loops and decision gates. This is the right skill for semantic agent-to-agent communication. Boundary with `orca-cli`: do not use orchestration for ordinary terminal control, shell commands, browser automation, worktree management, or reading/waiting on terminals; use `orca-cli` for those. Triggers include "tell the other agent", "ask <agent>", "hand off to", "pass this to <agent>", "delegate to <agent>", "have <agent> do X", "let <agent> know", "share with the other AI", "coordinate agents", "what did <agent> find", "check orchestration inbox", "reply to <agent>", "dispatch task", "orchestrate agents", "multi-agent", "task DAG", "worker_done", "escalation", "decision gate", and "coordinator loop".

Model Context Protocol (MCP) tools for Capacitor mobile development. Covers Ionic/Capacitor component APIs, plugin documentation, CLI commands, and AI-assisted…

Fetch dependency source code to give AI agents deeper implementation context. Use when the agent needs to understand how a library works internally, read…