About figure-it-out
Figure it out is a skill for designing a task-specific workflow when no existing playbook fits. It structures the work as verifiable experiments and keeps a decision trail for human review.
Key features
- 01Task framing and rigor assessment
- 02Workflow decomposition into phases
- 03Verification before implementation
- 04Experiment-based execution loop
- 05Decision-trail and final review
Use cases
- 01Planning unfamiliar engineering work
- 02Breaking complex changes into verifiable units
- 03Recording decisions for later review
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ overextended/ skills --skill figure-it-outAfter installing, type/figure-it-outin Claude Code to confirm it loaded.
Bundled filesagents/openai.yamlCREDITS.md
Details
From the project READMEFigure it out
When the task matches no playbook, design one. The deliverable before any code is the workflow itself: a sequence of phases that scales rigor to the task, runs the scientific method, and leaves a decision trail a human can audit after stepping away.
Principles named in bold are in the principles skill. Call the Skill tool with principles as the first item of the task list, and read each named principle's file when you apply it.
Start
Open a task list (your harness's task tool, or a checklist file at ~/.local/state/ox/checklists/<repo>-<branch>.md when it has none) whose first item is reading the principles index. Then add the phases below as todos.
Phase A: Frame
Ground first, then commit. Don't start the run until you can state:
- The definition of done as a falsifiable predicate, per Prove It Works.
- Scope, quantified: rough units and effort, plus the blockers grounding surfaced.
- The rigor level, biased high. One-way doors and high blast radius get more. Reversible low-stakes steps get less. Rigor is gates and artifacts, not "try harder".
Write the framing and its tradeoffs as the first rows of the decision log (Phase D), then start. Reversible work proceeds without waiting, per Never Block on the Human.
Phase B: Design the workflow
Decompose into atomic, independently-landable units. Sequence riskiest-unknown-first. Scaffold and verification come before features, per Foundational Thinking.
- Build the verification check before the work, outside the repo per Prove It Works, with the baseline captured from the pre-change state, so the check reads as "old value vs new value".
- For one-way-door design decisions, call the Skill tool with
architect(it runsarena). Skip it for mechanical work whose shape is already concrete. A second arena over a settled design is over-engineering, per the Laziness Protocol. - Decide what fans out. Parallelize only across seams, and give each worker its own git worktree, per Separate Before Serializing Shared State: commit any preparation first, then
git worktree add <path> -b <branch> <that commit>per worker. For several workers at once, call the Skill tool withswarm. Don't over-fan. - Write the designed phase list down. That list is what the human reviews.
Then execute the design. Add its steps to the task list as concrete items between the Phase C and Phase D entries. Run each under the Phase C loop discipline, and weave the Phase D log through them, a row as each step lands, rather than saving the whole trail for the end.
Phase C: Run the loop
Each unit is an experiment. State the hypothesis, make the smallest change, measure against the predicate on the real artifact, keep it if it advanced, revert it if it didn't. Apply Sequence Work into Verifiable Units, verifying each unit before starting the next instead of batching checks at the end.
- Verify by inspecting the artifact, never a self-report. When something passes too easily, suspect the observation method before the system.
- Pair delegated work with a judge. If a worker games the gate, reset and harden the contract. If the gate itself is wrong, fix the gate in its own change rather than routing around it.
- A verdict is VERIFIED, NOT VERIFIED, or INCONCLUSIVE. Inconclusive is not a pass. Don't hide a negative.
Phase D: Keep the audit trail
Log the run through the show-me-your-work skill (call the Skill tool with it). figure-it-out's work is usually ambitious enough to commit the trail so the reviewer can read it in the PR. The trail plus the diff is what lets the human come back and trust the work.
Phase E: Verify and hand back
Check the whole against the Phase A predicate on the real artifact, not just the harness. Encode any recurring correction as a gate, a lint rule, a check, or a script, per Encode Lessons in Structure.
Reply: the playbook you designed, the rigor level and why, the decision-trail path, what's verified against the predicate, and what's still open.