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Found 24 Skills
Mine Gmail history into a local flat-file knowledge base (~/.cortex/). Use when asked to "run the cortex", "mine emails", "cortex run", "cortex dry run", "set up the cortex", "cortex from DATE", or "mine my inbox". Extracts contacts, clients, communications and knowledge facts into portable JSONL/JSON files. Requires gws CLI and ANTHROPIC_API_KEY.
Search and query your Knowledge Cortex (~/.cortex/). Use when asked to "cortex stats", "cortex search", "cortex client", "cortex contacts", "cortex export", "cortex prune", "search my knowledge base", or "what do I know about COMPANY". Queries portable JSONL/JSON files for contacts, clients, communications, and facts.
Multi-agent pipeline orchestrator that plans and dispatches parallel development tasks to worktree agents. Reads project context, configures task directories with PRDs and jsonl context files, and launches isolated coding agents. Use when multiple independent features need parallel development, orchestrating worktree agents, or managing multi-agent coding pipelines.
When the user wants to find blog keywords, do keyword research for SEO, or build a keyword list for content. Use when the user mentions "keyword research," "blog keywords," "find keywords," "what should I blog about," "keyword ideas," "long-tail keywords," "striking distance keywords," "keyword gap," "content gap analysis," "competitor keywords," "keyword difficulty," "search volume," "topic clusters," "pillar content keywords," "keyword list," or "what are people searching for." Outputs a ranked JSONL keyword list for downstream content creation. For writing content strategy, see content-strategy. For SEO audits, see seo-audit. For AI search optimization, see ai-seo.
Core patterns for AI coding agents based on analysis of Claude Code, Codex, Cline, Aider, OpenCode. Triggers when: Building an AI coding agent or assistant, implementing tool-calling loops, managing context windows for LLMs, setting up agent memory or skill systems, or designing multi-provider LLM abstraction. Capabilities: Core agent loop with while(true) and tool execution, context management with pruning and compression and repo maps, tool safety with sandboxing and approval flows and doom loop detection, multi-provider abstraction with unified API for different LLMs, memory systems with project rules and auto-memory and skill loading, session persistence with SQLite vs JSONL patterns.
Generate a self-contained HTML viewer for any Claude Code session, including agent team sessions with full inter-agent DM timelines. Use whenever the user asks to "view a session", "visualize a conversation", "show me what happened in session X", "generate a session viewer", "replay a session", or references viewing/inspecting Claude Code JSONL logs. Also use when the user provides a session ID and wants to see the conversation.
Archive deployment records with merged common+environment config context (including remote port) for Makefile-first deployment workflow.
Manage task records in Feishu Bitable (飞书多维表格) using a fixed task-status table schema and TASK_FIELD_* overrides. Use to fetch/claim/update/create tasks, look up drama metadata by BookID, or derive tasks from a source Bitable (JSON/JSONL in/out).
Monitor repo changes made by another Claude Code instance, accumulate observations, and deliver a final review on request
Analyzes Claude Code session transcripts (JSONL files) to reveal context window content, token usage patterns, and decision-making processes using view_session_context.py tool. Use when debugging Claude behavior, investigating token patterns, tracking agent delegation, or analyzing context exhaustion. Triggers on "why did Claude do X", "analyze session", "check session logs", "context window exhaustion", or "track agent delegation".
Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
Set up and run an autonomous experiment loop for any optimization target. Use when asked to start autoresearch or run experiments.