evidence-first-answer
SolidRequired pre-flight before answering any "why" or "are we" question about revenue, conversion, outbound, traffic, or commercial state. Forces verification of live data and distinguishes planning docs from telemetry. Triggered automatically when the CEO asks "are you sure?" — that phrase means the previous answer was wrong.
Install
Quality Score: 86/100
Skill Content
Details
- Author
- IgorGanapolsky
- Repository
- IgorGanapolsky/ThumbGate
- Created
- 5 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
fact-check
Enforces evidence-based reasoning for any task that involves making factual claims about a codebase — debugging, bug fixing, code investigation, code modification, AND explaining what code does, answering "where is X" / "what does Y do" / "is this safe", or summarizing behavior. Use this skill whenever the user asks to fix a bug, investigate an issue, modify existing code, trace a problem, debug behavior, refactor, change, update code, or explain/locate/audit any part of the codebase. This skill ensures Claude gathers real evidence from source code, docs, git history, and runtime behavior before making any claim — never guessing, never paraphrasing comments as fact, never relying on training memory. Even if the task seems straightforward, use this skill to guarantee that every claim and recommendation is grounded in verified facts.
method-rules
Core operating rules for the SaaS idea validation pipeline - evidence grading (A/B/C/D), GUESS labeling, traceability, pre-registered thresholds, gate discipline. Load whenever working on any artifact under ideas/<slug>/ or evaluating evidence for this pipeline.
why
Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.