assumption-test
SolidDesign the smallest viable test to validate or invalidate a critical assumption. Based on Torres's assumption testing framework, organized by Gilad's AFTER model (Assessment → Fact-Finding → Tests → Experiments → Release Results).
Install
Quality Score: 86/100
Skill Content
Details
- Author
- haabe
- Repository
- haabe/mycelium
- Created
- 3 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
assumption-mapper
Discovery-stage skill: breaks a product idea into its load-bearing assumptions, ranked riskiest-first, each tagged testable/untestable with a proposed test. Use when the user pitches an idea and asks what it depends on — 'map the assumptions', 'what are we betting on', 'what could kill this', 'what needs to be true', 'riskiest assumption first' — or when /pm routes such a request here. Do NOT use to write the PRD or spec (Build stage), to size the market (opportunity-sizer's job), for knowledge questions about assumption-testing methods, or for analyzing non-product documents.
assumption-inventory
Surface and confirm the load-bearing assumptions behind a task before a long or expensive run — goal, root, what may be edited, what is off-limits, what done means, and open questions — separating what can be cited from what is being guessed, so bad direction is caught before time is burned. Also pressure-tests the plan's acceptance criteria, flagging any that are weak or built on unproven assumptions, and asks the blocking uncertainties (scope boundaries, interpretations, soft "done" bars) as structured questions. Use at the start of a multi-step or high-cost task, when resuming ambiguous or handed-off work, or whenever the target is not crisply stated and you are about to commit to a long run.
assumptions
Generate an evidence-backed Assumptions ledger for a Git diff, feature, endpoint, worker, migration, or code path. Use when reviewing a change, asking what could break, preparing a release, finding edge cases, assessing deployment safety, analyzing retries or concurrency, or designing failure-focused tests.