From ank
Generate a Markdown handoff document summarizing the current conversation so another agent (Claude, Codex, opencode, pi, ampcode, Cursor, or a fresh session) can resume without re-deriving context. Produces docs/<slug>-handoff.md. Invoke explicitly when a session is near its context limit.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ank:handoffThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill runs **when context is nearly exhausted**. Budget is the constraint. Draft from what's already in conversation context — do not re-read files, do not grep, do not ask interview questions, do not run a self-check pass. One `Write` call is the goal.
This skill runs when context is nearly exhausted. Budget is the constraint. Draft from what's already in conversation context — do not re-read files, do not grep, do not ask interview questions, do not run a self-check pass. One Write call is the goal.
docs/<slug>-handoff.md where <slug> is a 2–3 word kebab-case identifier derived from the session's main agenda (or the user's freeform argument to the slash command, if given).
-2, -3, … — never clobber.mkdir -p docs if needed.Another LLM coding agent with Read/Write/Bash but zero prior context. Write for them: concrete paths, exact commands, exact error strings. No prose pleasantries, no recap of the dialogue.
Include only sections with real content. Omit or write None this session. for empty ones — never pad.
File | Change./ank:<skill> invocations + outcome. Omit if none.frontend/lib/auth.ts and trace refreshToken()" — not "figure out auth"). Write this last.Optional (include only if substantial and quick to produce): a fenced ASCII layout/architecture diagram, key types/state shape, or API surface touched.
Shape: tables for file lists, fenced ASCII for diagrams, short headers, no filler prose.
npx claudepluginhub ananthanandanan/skills --plugin ankGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.