agentify-project
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Prepare a prompt that hands this session's work to a fresh agent session — to continue it, check it, or pick up what was left open. Use when asked for a prompt or brief for the next session.
$ npx -y skills add eai-org/agent-toolkit --skill prepare-prompt --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/prepare-promptContext preview
The summary Claude sees to decide when to auto-load this skill.
Prepare a prompt that hands this session's work to a fresh agent session — to continue it, check it, or pick up what was left open. Use when asked for a prompt or brief for the next session.
name: prepare-prompt description: Prepare a prompt that hands this session's work to a fresh agent session — to continue it, check it, or pick up what was left open. Use when asked for a prompt or brief for the next session. license: MIT metadata: version: "0.1"
Write for a session holding only this text — no chat history, no memory of what was meant — and make it as short as that reader allows: nothing it needs is cut for brevity, nothing else stays. The reader is a fresh interactive session the user pastes it into; a subagent brief only when the invocation asks for one, under the same rules.
The user's goal, in a line, plus this session. Draft at once; ask only what neither settles — typically whether the next session may change things or only report — one question at a time, with a recommended answer.
A suggested order, every part optional: a part is never filled to exist, and two lines are a complete prompt when two lines cover the case.
1. **Situation** — what exists that the next session builds on, and what is open or was missed, each with its identifier (ticket URL, branch, commit, PR, task ids). 2. **Task and deliverable** — what to do, and in what form to report or produce it (a chat report with a given structure, a file, a code change). 3. **Latitude and boundaries** — what it may decide alone, when deviating is fine, what it must not touch (read-only, no git or tracker writes, files to ignore). 4. **Facts it cannot derive** — paths, the planning directory, docs to read, tool quirks with the workaround, a command that saves time.
The deliverable form and the write boundaries are the usual gaps: check whether the case needs them.
What stays and what goes:
redo anyway, and any narration of this session, goes.
thing go entirely — they would steer the check. When its job is to continue the work, the decisions it must build on stay, one line each.
hash), never copied. Only what lives nowhere — a decision made in the chat, a tool quirk, a useful command — is written out.
command and the rest follows as its arguments (`/refine-ticket 1234 …`) — not a description of the procedure, nor prose like "run `/refine-ticket`", which cannot load a skill that blocks model invocation. Verify it exists first. A subagent cannot run a slash command: its brief names the skill to invoke instead, and a task whose skill blocks model invocation stays with an interactive session.
Plain imperative prose in paragraphs, no headings, bullets for lists. Agent-facing, so no conversational voice. Print it as one fenced block, then a `---` line before any note to the user; every revision reprints the whole block.
remembered.
about the thing checked.
Done when all three hold.
A collection of generic agentic tools for common engineering tasks, designed to work with any AI agent on any kind of software project.
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Attach pasted images, files or URLs to a fetched ticket, saved beside its ticket file and referenced from it, or fill an attachment the fetch could not…
Check how much of a ticket is already implemented — split it into requirement blocks, judge each against the code, and save a human-readable TICKET-STATUS…
Draft, rewrite, or refine a doc for maximum token economy without losing any rule or intent. Use for docs kept in version control and regularly re-read by…
Author or refine a skill for maximum token economy without losing intent. Use when creating any new skill or editing an existing `SKILL.md`.
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.