skills/team/qrspi-questions/SKILL.md
QRSPI Questions phase -- surface what the agent does not know before any research or design begins. Use for "/qrspi-questions <feature>", "what don't we know about X", "surface unknowns for X", "open technical questions for X". Do NOT use to answer a question or for general Q&A -- this phase ASKS questions, it does not answer them. Do NOT use for the deprecated RPI workflow.
npx skillsauth add michaelalber/ai-toolkit qrspi-questionsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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"Judge a person by their questions rather than their answers." -- Adapted from Voltaire
The Questions phase is the first alignment gate of QRSPI. Before any codebase research or design,
the agent surfaces every unknown as a targeted technical question and STOPS for the human to
answer. A skipped question becomes a wrong assumption; a wrong assumption cascades into wrong
code. This phase makes the unknowns explicit and cheap to correct -- one edit in questions.md,
not a rewrite later.
Non-Negotiable Constraints:
questions.md -- the human answers inline before Research beginsquestions.md with progress and
tell the user to start a fresh session.PRE-FLIGHT
[ ] Determine the feature slug (kebab-case) and today's date
[ ] Feature folder = thoughts/shared/qrspi/YYYY-MM-DD-{slug}/ (create if absent)
[ ] If an ANSWERED questions.md already exists here, this phase is DONE -> route to /qrspi-research
SURFACE
Enumerate unknowns across every area the feature could touch:
data model · API contract · UI/UX · integration points · auth · testing · edge cases · migration
For each unknown, write a specific, answerable question -- never a vague prompt
Group questions by area; mark any that BLOCK design as [BLOCKING]
WRITE
Create thoughts/shared/qrspi/YYYY-MM-DD-{slug}/questions.md
Use references/questions-template.md
Set status: awaiting-answers
STOP
Tell the user: answer the questions inline in questions.md, then start a NEW session
and run /qrspi-research. Do NOT proceed to Research yourself.
Exit criteria: questions.md written with status awaiting-answers; questions cover all
relevant areas with blocking items flagged; user told to answer inline and start a fresh Research
session.
<qrspi-questions-state>
phase: PRE-FLIGHT | SURFACE | WRITE | STOP | COMPLETE
feature_slug: [kebab-slug]
feature_folder: thoughts/shared/qrspi/YYYY-MM-DD-{slug}/
areas_covered: [data | api | ui | integration | auth | testing | edge-cases | migration]
question_count: [count]
blocking_count: [count]
context_budget: under-40 | approaching-60 | checkpoint-now
status: awaiting-answers | complete
</qrspi-questions-state>
See references/questions-template.md for the full questions.md structure and frontmatter.
| Skill | Relationship |
|-------|-------------|
| qrspi-research | Next phase. Consumes the ANSWERED questions.md as its neutral topic source. |
| qrspi-spec | Downstream. Design decisions trace back to the answers captured here. |
| spec-coach | Use instead when you want an interactive design conversation, not a one-shot question dump. |
| grill-me | Use instead to be quizzed and challenged; qrspi-questions surfaces unknowns FOR the human to answer. |
development
Federal / government security overlay applied ON TOP OF a base language security review (dotnet/python/php/rust/react). Language-agnostic: adds NIST SP 800-53 control mapping, FIPS 140-2/3 cryptographic compliance (with a per-language crypto table), CUI handling, EO 14028 supply-chain requirements, and DOE Order 205.1B, and emits POA&M-ready findings with FIPS 199 impact levels. Use for federal/DOE/DOD/national-laboratory systems. Triggers on "federal security review", "NIST compliance", "NIST 800-53", "FISMA", "CUI", "FIPS audit", "DOE security", "POA&M", "ATO review". Do NOT use alone — run the matching <lang>-security-review FIRST; this overlay maps and extends it.
tools
OWASP-based security review of React / TypeScript front-end applications. Detects the framework (Vite/CRA/Next), entry points, and data flows, scans against the OWASP Top 10 (2025) mapped to React client-side patterns (XSS via raw HTML, URL/protocol injection, secrets in the bundle, insecure token storage, dependency CVEs, missing CSP, open redirects), and produces a manager-friendly executive summary plus a graded technical findings table. Use to audit React code for vulnerabilities. Triggers on "react security review", "frontend security audit", "audit react for vulnerabilities", "owasp react", "react xss", "react security posture", "npm audit review". For federal / gov / DOE / NIST / FIPS / CUI context, run security-review-federal after this base review. Do NOT use to grade architecture/structure — use react-architecture-checklist.
tools
Analyzes legacy React codebases and produces actionable modernization plans. Primary migration paths include class components to function components + hooks, Create React App to Vite, React 16/17 to 18 to 19, JavaScript to TypeScript, Enzyme to React Testing Library, legacy Redux to Redux Toolkit / Zustand / Context, and deprecated lifecycle/API removal. Does NOT perform the migration — assesses, quantifies risk, and plans. Triggers on phrases like "modernize react", "class to hooks", "upgrade react", "migrate CRA to vite", "react legacy migration", "react 17 to 18", "react js to typescript", "react technical debt", "enzyme to RTL".
development
Scaffolds feature-based React / TypeScript architecture using feature folders, presentational + container components, custom hooks, a typed data layer, and structural CQRS (query hooks vs mutation hooks). React analog of dotnet-vertical-slice and python-feature-slice — no DI framework; uses props/context for dependency injection and a query cache for server state. Use when creating feature-based React projects, adding React features, organizing components by feature rather than by technical type, or scaffolding a feature's data layer. Triggers on phrases like "scaffold react feature", "create react slice", "react feature folder", "react vertical slice", "add react feature", "react feature architecture", "organize react by feature".