flow-research
Skill0 starsChanged 3 months agoApache-2.0View on GitHub
Flow phase 2 (research). Normally invoked via /flow. Codebase recon plus optional web research; writes research.md with file:line references.
In this repository9 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- flow-implementSkill
- flow-planSkill
- flow-reportSkill
- flow-reviewSkill
- flow-shapeSkill
- flowSkill
- flow-startSkill
- flow-wrapSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 30
Stop and route the user to /flow shape instead of planning a guess.
- Very specific: line 31
Advance: Update updated + Next action, set phase: planning, announce (reference research.md by path), invoke the flow-plan skill.
≈ “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
Flow — research
- Codebase recon first (inline): what already exists for this task — relevant files, conventions, constraints, prior art (existing specs/plans, git history). Small task area → do it all inline.
- Fan out only for breadth. Up to 3 parallel
flow-researcheragents, each with ONE scoped question (e.g. one per subsystem, or one for an unfamiliar library). Cap at 3; if you want more, the task is too big — say so. Web research only when the task genuinely needs outside knowledge. Dispatch synchronously when you'd only wait anyway; if you background them, end each prompt with "deliver your findings via SendMessage to main" — background agents otherwise idle silently with the results stranded in their own context. - Write
research.mdin the task folder: Findings (with file:line), Constraints & prior art, Open questions. Dense; no pasted file bodies. - Triage the unknowns, then ask. Sort every open question: code-resolvable
→ go read the code, never ask; conventional default → record it, don't ask;
deferred or tunable → record it with an owner; shape-changing intent →
ask now. Only that last class interrupts the user: ONE AskUserQuestion
round, ≤4 questions, recommended option first and marked. Write each answer
to the workflow.md decision log immediately. Everything you recorded rather
than asked carries into plan.md's Assumptions section — silently guessing
is the failure this step exists to prevent.
Guard: more than 3 shape-changing questions means the task was never shaped.
Stop and route the user to
/flow shapeinstead of planning a guess. - Advance. Update
updated+Next action, setphase: planning, announce (reference research.md by path), invoke theflow-planskill.
Idempotent resume: if research.md already has findings, extend — don't redo.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
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.

