export-md
Skill4 starsChanged 2 months agoMITView on GitHub
Export a spec from the store as a GitHub-flavoured markdown file, plus a sidecar directory holding its diagrams. Use when the user asks to "export this spec as markdown", "give me the .md", "put this spec in the repo", or wants a spec on a surface that speaks markdown (GitHub, an editor, another agent). The conversion is deterministic and needs no model: this skill picks the spec, runs the CLI, and reports where the file landed.
In this repository10 other files it gives its agents.
- convert-specSkill
- create-specSkill
- exportSkill
- generate-templateSkill
- list-specsSkill
- migrate-specSkill
- review-specSkill
- start-specforgeSkill
- tune-templatesSkill
- write-reviewSkill
The file
Files
export-md
Render a store spec as markdown. ${CLAUDE_PLUGIN_ROOT} below denotes the
installed plugin directory. Claude and Pi export it; Codex provides the exact
value in SpecForge SessionStart context. Substitute it in every shell command.
1. Pick the spec
A store id is exactly one of:
- ten lowercase hex characters,
[0-9a-f]{10}(it issha1(uuid)[:10]), or template-followed by one ofgeneral,design,research,design-impl,impl,deck— that list and nothing else.
Check $ARGUMENTS against those two forms before it goes anywhere near a
shell. The enumeration is the point: template-<anything> would let
template-$(id) through as identifier-shaped. Anything that does not match is
not an id, whatever it looks like. Treat it as a description and find the real id
with
node "${CLAUDE_PLUGIN_ROOT}/lib/specforge-cli.mjs" listwhich is also what to run when $ARGUMENTS names no spec at all. List, then ask
which one, unless exactly one spec is attached to this session.
2. Export
node "${CLAUDE_PLUGIN_ROOT}/lib/specforge-cli.mjs" export-md "<id>" [--out "<dir|file.md>"]--out takes a directory (the file is named from the spec title) or a path
ending in .md. Omitted, it writes into the current directory.
Both placeholders are filled from what the human typed, so treat them as data. Quote them, as above: a destination with a space in it otherwise arrives as two arguments and the export lands somewhere else.
Quoting is not sanitising. Double quotes stop word splitting but NOT substitution,
so $, a backtick, ;, |, & or a newline still run inside them.
If either placeholder carries one of those characters, do not paste it into the command. For the id that cannot happen once step 1's check has run, which is why that check is a closed enumeration rather than a warning. For the path, ask for a plain one, or write to a directory you choose and tell the human where it went. The CLI validates its arguments, but only after the shell has had its turn.
It prints { id, mdPath, assetsDir, assets, warnings }:
assetsDiris set when the spec has diagrams. They are written next to the.mdas SVG files and referenced as ordinary images, because every markdown renderer strips inline SVG. The folder has to travel with the file — a.mdmoved on its own keeps its links but loses the pictures.warningsnames anything the conversion could not carry faithfully (a table cell that held a list, an element with no markdown form). Empty is the normal case; if it is not empty, say what it says.
A deck spec exits non-zero: slides are not a linear document, and flattening
them is not something this does.
3. Report
Give the human the path, and mention the assets folder when there is one. Do not paste the markdown into the conversation: the file is the deliverable, and a spec is long.
Notes
- Nothing is written into the store. The markdown is a rendering of
spec.htmlat the moment you asked, so re-exporting after an edit is how you refresh it; there is no stale copy to invalidate. - The reverse direction is the convert command —
/specforge:convert <file.md>under Claude Code,/spec-convert <file.md>under Pi — which imports markdown as a new spec and never writes over an existing one. Name the one your harness registers; the other does not exist there.
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.

