Bosun configuration — models, sandbox, daemon, Pi settings. Use when changing models, editing config, or understanding how bosun is set up.
Bootstrap a new project using bosun as a foundation — via bun dependency (recommended) or git submodule. Creates a downstream project that inherits bosun's multi-agent infrastructure while adding custom agents, skills, and extensions. Works standalone — fetchable by any pi agent via raw GitHub URL.
Search curated markdown memory like sessions, plans, docs, and skills. Use when recalling prior context or looking for relevant historical/project knowledge.
Analyze Pi session JSONL files using jq patterns. Use when extracting metrics, tool usage, costs, or reviewing session history. Load for session export, summarization, or workflow analysis.
Session-based browser plan review primitives for Bosun. Provides a local-first state model, markdown-aware anchor extraction, and review-session persistence for reviewing existing plan files in dedicated CDP browser windows. Triggers: "plan-review", "review this plan", "review markdown plan".
Session-based browser diff review primitives for Bosun. Provides transport- agnostic v1 schemas plus local state and git snapshot helpers for immutable review rounds. Triggers: "diff-review", "reround", "review round", "snapshot-backed review".
Browser automation via Chrome DevTools Protocol. Connects to Chromium running with --remote-debugging-port=9222. Use for: navigate, click, fill, screenshot, inspect DOM, capture console logs, debug errors, monitor network, viewport emulation, visual review, overflow detection. Triggers: "browser", "go to", "click", "fill form", "take screenshot", "web page", "scrape", "console errors", "debug", "network requests", "visual review", "responsive", "viewport", "overflow".
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, passive voice, negative parallelisms, and filler phrases.