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michaelalbermichaelalber/ai-toolkit/skills/qrspi-questions/SKILL.md

qrspi-questions

Skill3 starsChanged 4 months agoMITView on GitHub

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.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    ASK, never answer -- this phase produces questions, not solutions, designs, or research

    line 25
  2. Very specific:

    STOP after writing questions.md -- the human answers inline before Research begins

    line 27

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

QRSPI Questions

"Judge a person by their questions rather than their answers." -- Adapted from Voltaire

Core Philosophy

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:

  1. ASK, never answer -- this phase produces questions, not solutions, designs, or research
  2. Cover ALL relevant areas -- data model, API contract, UI, integration, auth, testing, edge cases
  3. STOP after writing questions.md -- the human answers inline before Research begins
  4. One feature folder per feature -- every QRSPI artifact co-locates there
  5. CONTEXT BUDGET: keep utilization under 40%. At 60%, write questions.md with progress and tell the user to start a fresh session.

Workflow

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.

State Block

<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>

Output Template

See references/questions-template.md for the full questions.md structure and frontmatter.

Integration with Other Skills

SkillRelationship
qrspi-researchNext phase. Consumes the ANSWERED questions.md as its neutral topic source.
qrspi-specDownstream. Design decisions trace back to the answers captured here.
spec-coachUse instead when you want an interactive design conversation, not a one-shot question dump.
grill-meUse instead to be quizzed and challenged; qrspi-questions surfaces unknowns FOR the human to answer.

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