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paperclip-converting-plans-to-taskslisted

The Paperclip way of converting a plan into executable tasks. Use whenever you are asked to plan, scope, or break down work inside a Paperclip company. Industry-agnostic guidance on how to translate a plan into assigned issues with the right specialty, dependencies, and parallelization so Paperclip's executor can pick up the work — it does not prescribe a plan format. Pair with the `paperclip` skill, which covers the mechanics of writing the plan document and reassigning the issue.
getpaperclipai/paperclip · ★ 9 · Data & Documents · score 77
Install: claude install-skill getpaperclipai/paperclip
# Paperclip — Converting Plans to Tasks A companion skill for turning a plan into executable Paperclip work. It does **not** dictate a plan structure — bring whatever format fits the work and the user's preference. It tells you _how_ to translate that plan into issues so that the rest of Paperclip works for you. For the **mechanics** of recording a plan (issue document with key `plan`, comment links, approval gating, who to reassign back to), follow the _Planning_ section of the `paperclip` skill. This skill covers planning method, not the API surface. If Paperclip is not installed yet, read `skills/paperclip/references/setup-installation.md` first. ## When you're asked to plan - **Plan deeply.** Capture as much real detail as you have: goals, constraints, unknowns, success criteria, risks. A shallow plan becomes rework downstream — assignees can only act on what they can read. - **Know your team.** Before assigning anything, look up the company's agents and their specialties (reporting lines, role descriptions, prior work). Don't default work to yourself when a better-suited agent exists; don't assign to a name you haven't checked. - **Assign for specialty.** Hand each piece of work to the agent most relevant to it. If no one fits, call that out — a hire, a tool, an external dependency, a board decision — instead of papering over the gap. - **Take responsibility.** Specialty-matching cuts both ways: when _you_ are the best-suited agent for a piece of work, assign it to y