| name | facts |
| description | Manage .facts files — atomic, validatable truth statements about a project. Install, check, list, add, edit, remove, and lint facts via the CLI. ALWAYS read this skill when the user mentions facts in any capacity.
|
facts
A CLI for fact-driven development. You use it to specify what must be true about a project, then validate that reality matches.
Project: https://github.com/av/facts
Installing
If facts is not installed, install it with one of:
curl -fsSL https://raw.githubusercontent.com/av/facts/main/install.sh | sh
npm install -g @avcodes/facts
pipx install facts-cli
Verify with facts --version. The command is always facts — never npx facts.
Core idea
A .facts file is a flat list of atomic truth statements about a project. Each fact can optionally have a shell command that verifies it. The fact sheet serves as both specification (what should be true) and documentation (what is true) — the difference is just which direction you're working from.
- the API returns JSON
- label: project builds
command: cargo build
- label: tests pass
command: cargo test
tags: [ci, core]
That's the entire format. Plain strings for simple facts, mappings when you need a command, tags, or explicit ID. Allowed mapping keys: id, label, command, tags — nothing else.
Essential commands
See everything:
facts list
facts list --tags "not implemented"
facts list --has-command
facts list --light # markdown-like output with headings and dimmed IDs
Validate:
facts check
facts check --tags "ci"
check is your primary feedback loop. It lints the files first (aborting on structural errors), then runs every command-fact and reports pass/fail/manual. Run it often. Exit 0 means all command-facts pass; manual facts don't affect the exit code.
Manual facts (? in output) are your responsibility. They have no command — you verify them by reading the relevant code. For each ? fact: read what it claims, check the code, then report PASS or FAIL with a one-line reason. Reporting "N manual" without checking each one is not acceptable — those facts exist because they describe behavior that matters.
Add facts:
facts add "users can sign up" --section features/auth
facts add "signup returns 201" --command "curl -s -o /dev/null -w '%{http_code}' localhost:3000/signup | grep 201" --section features/auth
Edit facts:
facts edit <id> --add-tag "implemented"
facts edit <id> --remove-tag "blocked"
facts edit <id> --label "corrected statement"
facts edit <id> --command "new check command"
Prefer --add-tag / --remove-tag over --tags. The latter replaces all tags silently — use it only when you intend a full replacement.
Remove facts:
facts remove <id>
Scaffold a new project:
facts init
Run facts <command> --help for the full flag reference.
How facts work
Files: .facts is the default. Additional sheets use semantic names (cli.facts, api.facts). All *.facts files in the project root are discovered automatically.
Sections: Markdown headings (#, ##, etc.) create hierarchical sections addressable by path (e.g. cli/subcommands). Sections are created when you add to them and removed when their last fact is deleted.
Tags: @word tokens for filtering. Inline for plain strings (- some fact @mvp), tags: key for mappings. Stripped from the label before display and ID hashing. Filter with boolean expressions: --tags "mvp and not blocked".
Lifecycle tags: Three well-known tags drive the agent workflow:
@draft — rough idea, needs refinement and atomization@spec — precise and actionable, ready to implement@implemented — true and backed by code- Untagged facts are ground truth — verified against the codebase
The lifecycle flows @draft → @spec → @implemented. Each companion skill owns one transition.
IDs: Every fact gets a short ID (3+ chars) derived from its label hash. Stable as long as the label doesn't change. Use --id or --new-id to override.
Validation: Commands run via $SHELL (fallback sh) in the project root. Exit 0 = fact holds. Write commands that are fast and idempotent — they run on every check.
Writing good facts
Facts should describe what the project does — its behaviors, features, and contracts — not what files it has or what libraries it uses. The test: if an agent reimplemented this project using only the fact sheet, would the result behave correctly?
- Behavioral — describe what happens from the user's perspective ("expired tokens are rejected with 401") not what exists in the code ("there is an auth module")
- Atomic — one truth per fact, independently verifiable
- Declarative — state what is true, not what to do ("uses PostgreSQL" not "set up PostgreSQL")
- Stable — shouldn't change with every commit ("tests pass" not "there are 47 tests")
- Falsifiable — you could imagine a broken implementation where this fact would not hold
Structural facts (dependencies, file layout) are supporting detail, not the main content. A fact sheet full of "uses X library" and "has Y directory" tells an agent nothing about how the project actually works.
Good validation commands are fast, idempotent, and test one thing. Prefer test -f, grep -q, and short script checks over running full builds.
Domain vocabulary
The ## domain section in the main .facts file defines the project's key entities and their relationships. These are facts too — atomic truth statements — but they describe the conceptual model rather than specific behaviors.
Entity facts name and define a concept — the common pattern is a <Name> is <definition>.
Relation facts state how entities connect. Use the defined entity names in natural declarative statements — there is no rigid grammar, but the connection should be specific.
## domain
- a FactSheet is a parsed *.facts file containing sections and facts
- a Section is a heading-delimited group of facts, nestable via heading depth
- a Fact is an atomic truth statement: a label, optional command, optional tags
- a FactSheet contains a preamble and nested Sections
- check validates command-bearing Facts by running them in the project root
- Tags filter Facts via boolean expressions
Use these names consistently across the fact sheet. The domain section lives in the main .facts file. It is built by facts-discover, refined by facts-refine, and extended by facts-implement when new concepts emerge during implementation.
Agent workflows
Start of work — always do this first:
facts list # read the full spec
facts check # see what holds and what doesn't
Use the fact sheet to orient before writing code. It is the source of truth for what the project should look like and what is already validated.
Define the spec (most common user intent):
When the user says "work on facts", "add facts", or "define the spec", they want to collaboratively define what should be true — not audit what already is.
facts add "users can sign up" --section features/auth --tags "draft"
facts add "signup returns 201" --command "curl -s ..." --section features/auth --tags "spec"
- Discuss with the user what the project should look like
- Add rough ideas as
@draft — they'll be refined into precise specs later
- Add precise, actionable facts as
@spec — they're ready to implement
- Do NOT remove
@draft or @spec facts — they represent intended future work
- Do NOT run
facts-discover unless the user explicitly asks to sync with reality
Track lifecycle progress:
facts list --tags "draft" # rough ideas to refine
facts list --tags "spec" # ready to implement
facts list --tags "implemented" # done
facts list --tags "not implemented" # all remaining work
facts check # verify
Maintain accuracy during coding work:
When you add a feature, add corresponding facts. When you fix a bug, verify related facts still hold. When you remove code, remove obsolete facts.
facts check # find failing facts
facts edit <id> --label "corrected" # fix inaccurate facts
facts remove <id> # remove obsolete facts
facts add "new truth" --section foo # add discovered truths
Companion skills
Each skill owns one lifecycle transition:
- facts-discover — scan the codebase and classify every fact by lifecycle stage (
@draft, @spec, @implemented). Use to triage or bootstrap.
- facts-refine — pick up
@draft facts and refine them into precise @spec facts with the user. Use when drafts need sharpening.
- facts-implement — pick up
@spec facts and implement them in code, then tag @implemented. Use when specs are ready to build.
