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.
In this repository86 other files it gives its agents.
- AGENTS.mdAGENTS.md
- project-templates/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- project-templates/CLAUDE.mdCLAUDE.md
- alembic-migration-managerSkill
- architecture-journalSkill
- architecture-reviewSkill
- automated-code-reviewSkill
- axum-scaffolderSkill
- capture-consolidateSkill
- cargo-package-scaffoldSkill
- code-review-coachSkill
- confluence-guide-writerSkill
- dependency-mapperSkill
- doc-syncSkill
- dotnet-architecture-checklistSkill
- dotnet-controller-api-scaffolderSkill
- dotnet-security-reviewSkill
- dotnet-vertical-sliceSkill
- ef-migration-managerSkill
- email-captureSkill
- environment-healthSkill
- evaluate-testsSkill
- fastapi-scaffolderSkill
- fitness-functionsSkill
- jira-comment-writerSkill
- legacy-migration-analyzerSkill
- minimal-api-scaffolderSkill
- nuget-package-scaffoldSkill
- oss-vettingSkill
- pattern-tradeoff-analyzerSkill
- php-api-scaffolderSkill
- php-architecture-checklistSkill
- php-feature-sliceSkill
- php-migration-managerSkill
- php-package-scaffoldSkill
- php-security-reviewSkill
- pr-feedback-writerSkill
- pypi-package-scaffoldSkill
- python-architecture-checklistSkill
- python-feature-sliceSkill
- python-modernization-analyzerSkill
- python-security-reviewSkill
- qraspi-architectureSkill
- qraspi-graduateSkill
- qraspi-implementSkill
- qraspi-planSkill
- qraspi-questionsSkill
- qraspi-researchSkill
- qraspi-skeletonSkill
- qrspi-implementSkill
- qrspi-planSkill
- qrspi-researchSkill
- qrspi-specSkill
- react-app-scaffolderSkill
- react-architecture-checklistSkill
- react-component-scaffolderSkill
- react-feature-sliceSkill
- react-modernization-analyzerSkill
- react-security-reviewSkill
- The first 60 shown.
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
- Distinctive: line 25
ASK, never answer -- this phase produces questions, not solutions, designs, or research
- Very specific: line 27
STOP after writing questions.md -- the human answers inline before Research begins
≈ “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.
Files
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:
- ASK, never answer -- this phase produces questions, not solutions, designs, or research
- Cover ALL relevant areas -- data model, API contract, UI, integration, auth, testing, edge cases
- STOP after writing
questions.md-- the human answers inline before Research begins - One feature folder per feature -- every QRSPI artifact co-locates there
- CONTEXT BUDGET: keep utilization under 40%. At 60%, write
questions.mdwith 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
| 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. |
Does it work?
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

