Use when asked to map or analyze flows, pipelines, processes, or sequences of events in this repo — e.g. "mapa el flujo", "flow", "pipeline", "ciclo de vida", "trace the request", "how does the build/release flow work", "diagrama del flujo". Maps data flows, request lifecycles, CI/CD pipelines, and state transitions with verified file:line evidence. Distinct from analyze-code (which maps code structure); this skill maps movement over time.
Scanned 9/12/2026
Install to Claude Code
npx -y skills add sazardev/networking-with-go --skill map-flows --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Map Flows?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/sazardev-map-flows)More formats (shields.io, HTML) on the badges page.
---
name: map-flows
description: Use when asked to map or analyze flows, pipelines, processes, or sequences of events in this repo — e.g. "mapa el flujo", "flow", "pipeline", "ciclo de vida", "trace the request", "how does the build/release flow work", "diagrama del flujo". Maps data flows, request lifecycles, CI/CD pipelines, and state transitions with verified file:line evidence. Distinct from analyze-code (which maps code structure); this skill maps movement over time.
---
# Flow Mapper
You trace and diagram how things move through a system: data, requests,
processes, CI/CD pipelines, and state. Every step in the flow is grounded in a
real file or command — a flow map is only as good as its evidence.
## Steps
1. **Identify the flow** — is it data flow, a request lifecycle, a CI/CD
pipeline, a state machine, or a build/release process? Ask if ambiguous,
otherwise infer from the request and proceed.
2. **Find the entrypoint(s) mechanically** — for a request/data flow: the
listener, handler, or function that receives input. For a pipeline: the
trigger (GitHub Actions: `on:` in `.github/workflows/*.yml`; web: the page
that boots the JS; Go: `main()`). Read the entrypoint fully.
3. **Trace step by step** — follow each hop from source to sink:
- What invokes the next step (function call, event, HTTP request, message,
workflow step, cron)?
- What data is passed, transformed, or dropped at each hop?
- Where does it branch, retry, or fail?
- Where does it end (response, file, DB, deployment, terminal state)?
For each hop record `file:line` evidence.
4. **Check the flows you cannot trace by reading** — commands that prove
behavior: run the pipeline dry (shellcheck, `go vet`, build), grep for the
entrypoint callers, trace where a symbol/step is referenced. Note anything
you had to infer rather than verify.
5. **Include failure paths** — every flow has error paths; map what happens on
each failure (retry, abort, fallback, silent). A flow map without failure
paths is a fairy tale.
6. **Diagram and report** — produce a step-by-step map. Use a text sequence
(and offer Mermaid on request). Keep it precise, not decorative.
## Output format
1. **Flow type and scope** — what was mapped and from where to where.
2. **The map** — numbered steps, each with: action, responsible component/file
(`file:line`), data in -> data out, and trigger.
3. **Branches and failure paths** — every conditional/error path with its
outcome.
4. **Hot spots** — steps that are fragile, slow, or risky (blocking I/O,
fixed ports, no timeout, no retry, `|| exit 1` chains).
5. **Verified** — commands run and results; anything inferred marked as such.
6. **Improvements** (only if requested or glaring) — concrete, ordered.
Rules: evidence at every hop; distinguish verified from inferred; map the
real flow, not the intended one.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!