product-shaping
Skill172 starsChanged 4 months agoMITView on GitHub
Use this skill to shape product or engineering work before committing time to it: set appetites instead of estimates, narrow raw ideas into bounded problems, sketch solutions at the right level of abstraction, de-risk rabbit holes, write pitches, bet with capped downside (circuit breaker), and govern builds with discovered scopes and scope hammering. Adapted from Basecamp's Shape Up and extended for human+AI-agent teams. Use when a raw idea, feature request, or "redesign X" grab-bag needs to become a bounded project before anyone builds; when planning how much work an idea is worth; or when delegated agent builds need budgets, kill criteria, and non-convergence rules. Do not use for discovering whether a problem is real (use product-discovery), for portfolio-level sequencing across quarters (product-roadmapping-and-portfolio), for formal specification after the bet is placed (spec-driven-development), or for task-level prioritization frameworks like RICE (product-methodology).
4 other projects use a version of this.
Adopted by
Most recently taken up by
- tadoEng/web-startertheir own version, first seen Aug 11, 2026
- kiku-jw/codex-skillstheir own version, first seen Jul 28, 2026
- shreyas-makes/agent-skillstheir own version, first seen Jul 15, 2026
- ferminrp/agent-skillstheir own version, first seen Feb 17, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- ferminrp/agent-skills★ 39same name
- shreyas-makes/agent-skills★ 2same name
- tadoEng/web-starter★ 2same name
- kiku-jw/codex-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 4 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 119
Every practice claim originates from one company's account (Basecamp, 2019).
“Common” is measured: kept by at least 6 in 10 of the 4 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Product Shaping
Pre-commitment methodology for product and engineering work, adapted from Ryan Singer's Shape Up (free edition at basecamp.com/shapeup), extended for teams whose builders include AI agents.
The loop: shape a raw idea into a bounded pitch → bet a fixed appetite on it → build by discovering scopes and hammering scope to fit the box → move on, letting post-ship feedback re-enter as raw ideas.
The core moves
- Set boundaries — choose the appetite ("how much is this worth?") and narrow the problem to one specific story. Kill grab-bags ("redesign X", "X 2.0").
- Find the elements — sketch the solution rough, solved, and bounded: breadboards for flows, fat-marker fidelity for visual problems, components-and-contracts for non-UI work.
- Patch rabbit holes — attack your own sketch; settle hard decisions now, declare out-of-bounds cases, cut what the appetite can't afford.
- Write the pitch — problem, appetite, solution, rabbit holes, no-gos.
- Bet — commit the box uninterrupted, downside capped. No finish, no extension by default: the circuit breaker routes failure back to shaping.
- Build — one integrated slice first, then discovered scopes tracked as uphill→downhill states; sequence scariest-first; compare down to baseline when deciding to stop.
- Move on — scope cuts are not quality cuts; new feedback needs shaping, not instant yes.
Reference files
Load only what the current step needs:
| Reference | Load when |
| references/principles.md | You need the why: appetite vs estimate, fixed-time-variable-scope, rough/solved/bounded, evidence boundaries, lineage |
| references/shaping.md | Shaping steps 1–4 in detail, including shaping non-UI/backend/infrastructure work |
| references/betting.md | Bets vs backlogs, circuit breaker mechanics, cycles as optional scaffolding, handling defects between bets |
| references/building.md | Hand-over-responsibility, one-piece-done, scope mapping, hill-state tracking, deciding when to stop |
| references/hybrid-adaptation.md | Any bet involving AI-agent builders: budget currencies, batched steering, verification cost inside scope, kill criteria for non-converging loops |
| references/anti-patterns.md | Before betting anything that matters — documented field failures and their mitigations |
Templates
| Template | Purpose |
| templates/PITCH.md | Fillable five-ingredient pitch document |
| templates/SCOPE_MAP.md | Fillable scope table with hill states, chowder list, and breaker check |
Entry points
| Situation | Start here |
| Raw idea or request arrived | references/shaping.md step 1 |
| Idea is validated but unbounded | references/shaping.md |
| Ready to write up the concept | templates/PITCH.md |
| Deciding what gets the next box | references/betting.md |
| Bet placed, starting the build | references/building.md |
| Builders are AI agents | references/hybrid-adaptation.md |
| Project keeps not finishing / loops won't converge | references/anti-patterns.md, then hybrid-adaptation kill criteria |
When not to use
- The problem itself isn't validated yet →
product-discovery. Shaping narrows validated problems; it does not investigate whether the problem is real. - The question is strategic (positioning, market entry, portfolio weight across
quarters) →
product-strategyorproduct-roadmapping-and-portfolio. This skill packages a single bet — one bounded commitment with an appetite and circuit breaker; roadmapping sequences many such bets across cycles with continue/pause/kill criteria. - The bet is already placed and the work needs a formal spec →
spec-driven- developmentconsumes shaped output when formal specification is warranted. - Comparing unrelated feature proposals by score →
product-methodology(RICE/ MoSCoW). Appetite replaces scoring inside this skill's scope; use one system, not both on the same decision. - An epic resists decomposition because nobody can define done → route BACK here: that is an unshaped project, and force-splitting it produces disconnected tasks.
- The work is small, routine, and fully understood — skip shaping overhead; just do it.
- The bet is placed and you need intent-to-delivery control — classification,
five-field intent contracts, autonomy gating, failure routing, and resumable status
across the run. Route to
bmad. Shaping ends at the bet; bmad carries the placed intent through bounded, inspectable, resumable agent work.
Related skills
product-discovery— upstream: validates the problem before narrowing beginsproduct-strategy,product-roadmapping-and-portfolio— strategic context above betsproduct-methodology— downstream consumer of a won bet (prioritization, spec drafting)spec-driven-development— optional formal specification of shaped output post-betimplementation-planning,subagent-driven-development— execution after the bet; decompose only downhill work, never pre-shred a pitchbmad— intent-to-delivery control-plane protocol once the bet is placed: classification, five-field intent contracts, autonomy gating, failure routing, resumable spec statuswork-tracking— where scope/hill state lives during the buildqa-methodology— edge-case QA as late-cycle level-up, not gate
Evidence note
Every practice claim originates from one company's account (Basecamp, 2019). Independent team records through 2026 show real adaptations and documented abandonments; read references/anti-patterns.md before betting anything that matters, and treat six-week cycles as tunable scaffolding rather than doctrine.
Does it work?
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