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Act Prepare

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Use when planning a larger feature or block, asked to "plan this out", before work that should run unattended, or when the human says they will be away. Ends with ready, sized tasks and every open question asked in one bundle. Not for a first idea still lacking a decision - use act-idea.

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  • Added October 8, 2026
developmentpythongo

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Scanned October 8, 2026

npx -y skills add wrufeger/agentic-coding-template --skill act-prepare --agent claude-code

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SKILL.md
---
name: act-prepare
description: Use when planning a larger feature or block, asked to "plan this out", before work that should run unattended, or when the human says they will be away. Ends with ready, sized tasks and every open question asked in one bundle. Not for a first idea still lacking a decision - use act-idea.
---

# Prepare a block

Runs in the main session — it ends with questions for the human. Applies `R-human-ask` (bundled
questions, stated assumptions) and `R-work-handover`. **In one sentence:** the human answers
everything open **once**, then the block runs unattended. The costliest mistake is a question the
code already answers, so research comes before the question round, never after.

1. **Bound the scope** — what's in, what's explicitly not, both written down.
2. **Research what exists, in parallel** — several `explorer` roles in one message: what already
   exists, which files are affected, does anything in `docs/project/decisions.md` conflict, where
   does the code differ from the docs.
3. **Cut it into tasks or stories.** Each task: one-sentence goal, checkable acceptance criterion,
   steps as bullets. Something bigger with its own justification becomes a story
   (`docs/project/stories/`, where the project uses them); the rest is a task under
   `docs/ai/work/tasks/` (`python .act/scripts/entries.py new task <title>`).
4. **Check readiness** — goal unambiguous, acceptance checkable, decisions made, preconditions
   met, unknowns researched. Anything failing this stays marked open and **doesn't start**.
5. **One bundled question round.** Numbered, answer options, a marked recommendation where there
   is one, ordered by how much each blocks, with one line on what happens if it stays unanswered.
   File the same questions in the inbox (`entries.py new question <title>` per question, `kind:
   question`) so the answer has somewhere to land — the board's Waiting section already surfaces
   them, no separate inbox entry needed. Under `inbox-decisions: at-start` this is where a backlog
   entry's `decision: open` points get asked; under `immediate` they are already in the inbox —
   still check the backlog entries in scope for any left over.
6. **Record the answers**: ADR in `docs/project/decisions.md`, open points cleared, tasks marked
   ready. A question left open keeps its task on hold — never started "on best guess".
7. **Lay out the order**: what runs when and in parallel, checkpoints, rough duration — the plan
   the block runs on while the human is away.

## When the human is away

Explicitly cleared to run unattended ("I'll be away", "let it run through"):

- Work the prepared order — no new scope, nothing added along the way.
- Unexpected findings get noted and **skipped**, not waited on.
- Everything left is blocked: **stop**, don't build on a guess.
- Anything irreversible stays untouched even if it blocks the rest — being away is not approval
  (`R-safe-approval`).
- Journal and task status updated as they happen (`R-work-record-now`), not from memory later —
  working state via `entries.py state <id> <text>`, not in the task file itself.
- On return: **one** summary — done with evidence, still open and why, the bundled questions.

## Limits

- No question research already answers; no code here — building happens afterward.
- No plan beyond the scope — something important found outside it becomes a backlog item, not an
  extra task in this block.
- Readiness isn't judged generously: "that'll sort itself out while building" is the sentence that
  causes the interruption later, or the stall with nobody there.

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