fd-map
Skill0 starsChanged 23 days agoMITView on GitHub
Maps the current project's tech stack, module layout, entry points, conventions and dependencies in a read-only subagent. FlowDeck's fd-task calls this once to build the project-level architecture summary.
In this repository32 other files it gives its agents.
- .claude/CLAUDE.mdCLAUDE.md
- api-designSkill
- arch-constraint-guardSkill
- backend-patternsSkill
- clean-architectureSkill
- codebase-mappingSkill
- context-budgetSkill
- cqrsSkill
- ddd-architectureSkill
- debug-flowSkill
- dependency-auditSkill
- django-patternsSkill
- django-tddSkill
- event-driven-architectureSkill
- fd-codenavSkill
- frontend-patternSkill
- git-releaseSkill
- git-workflowSkill
- golang-patternsSkill
- hexagonal-architectureSkill
- java-patternsSkill
- layered-architectureSkill
- performance-profilingSkill
- postgres-patternsSkill
- python-patternsSkill
- refactor-guideSkill
- research-firstSkill
- rust-patternsSkill
- saga-architectureSkill
- security-scanSkill
- tdd-workflowSkill
- test-gap-detectorSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are 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.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Read the package and build manifests (package.json, pyproject.toml, requirements.txt, Cargo.toml, go.mod, pom.xml, build.gradle, and …
- Very specific: line 16
If an LSP tool is available, use its document symbols to outline large entry-point files.
- Distinctive: line 28
Put anything you could not determine under Unknown.
≈ “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
Map the codebase in the current working directory. Report only what you can see in the files. Do not guess, and do not write or edit anything.
- Read the package and build manifests (
package.json,pyproject.toml,requirements.txt,Cargo.toml,go.mod,pom.xml,build.gradle, and similar) for the stack, versions and dependencies. - Glob the source tree (
src/,app/,lib/,cmd/, or whatever the project uses) to get the module layout. Ignorenode_modules,target,dist,build,.gitand vendored code. - Find the entry points: the main files, server or CLI bootstraps, route tables, and scripts in the manifest.
- Note the conventions you can see: naming, layering, where tests live and what runner they use, lint and format config.
- If an LSP tool is available, use its document symbols to outline large entry-point files. Otherwise Read with
offsetandlimit, or Grep the definition keywords. Do not read whole large files.
Return a Markdown summary with these sections, citing a file path for each claim:
Tech stack
Module layout
Entry points
Conventions
External dependencies
Test setup
Unknown
Put anything you could not determine under Unknown. Do not pad the other sections.
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.

