openkata
AGENTS.md1 starsChanged 13 days agoMITView on GitHub
Open Kata is a collection of portable agent skills and rules following the Agent Skills specification. Skills live in skills/, rules in rules/, and local companions in .agents/skills/ and .agents/rules/. Never run go build without -o bin/. Binaries at the project root indicate a build error. Run these before every push so the committed _templ.go files match the .templ sources. CI and the deploy regenerate them, but neither compares them with what is committed. The pull request build does fail…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,774 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository20 other files it gives its agents.
- openkata-eval-runnerSkill
- openkata-optimize-skillsSkill
- openkata-review-ruleSkill
- openkata-review-skillSkill
- openkata-rule-conventionsSkill
- openkata-ryu-releaseSkill
- openkata-skill-conventionsSkill
- commit-conventionsSkill
- create-adrSkill
- create-evalsSkill
- create-profileSkill
- create-ruleSkill
- create-skillSkill
- critical-thinkingSkill
- github-create-prSkill
- git-worktreeSkill
- grill-meSkill
- grill-with-docsSkill
- makefile-conventionsSkill
- spec-workflowSkill
The file
We split this AGENTS.md into the rules it gives an agent
7 rules. About 0 are common, 3 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Very specific: line 23
Never run go build without -o bin/.
- Very specific: line 34
Run these before every push so the committed _templ.go files match the .templ sources.
- Very specific: line 41
Before opening a pull request for a spec'd feature, run /validate-spec.
- Distinctive: line 81
Do not push without explicit user confirmation
- Distinctive: line 82
Do not force push without explaining the impact first
- Distinctive: line 83
Commit freely when asked, but pushing is a separate action
- Very specific: line 99
Do not run tessl CLI commands without asking the user first
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md 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
AGENTS.md
Project overview
Open Kata is a collection of portable agent skills and rules
following the Agent Skills specification. Skills live in
skills/, rules in rules/, and local companions in
.agents/skills/ and .agents/rules/.
Build and test
# Build binaries (always output to bin/)
go build -o bin/openkata-mcp ./cmd/openkata-mcp/
go build -o bin/openkata-web ./cmd/openkata-web/
go build -o bin/generate-versions ./cmd/generate-versions/
# List skills and rules
make skills
make rulesNever run go build without -o bin/. Binaries at the
project root indicate a build error.
Before pushing
templ generate ./cmd/openkata-web/templates/
go build -o bin/openkata-web ./cmd/openkata-web/
go test ./cmd/openkata-web/...Run these before every push so the committed _templ.go
files match the .templ sources. CI and the deploy
regenerate them, but neither compares them with what is
committed. The pull request build does fail when the README
badge counts are stale: run make badges after adding or
removing a skill, rule or profile.
Before opening a pull request for a spec'd feature, run
/validate-spec. It has a fresh agent check the diff against
spec.md alone and writes
specs/NNNN-slug/validation-report.md. See
.agents/prompts/validate-spec.md.
Code style
Go
- Standard
go fmtformatting - Build must pass with zero warnings
Testing
- See
rules/go-testing/RULE.mdfor full conventions
Bash
#!/usr/bin/env bashwithset -euo pipefail- 2-space indent, 80 char line limit
[[ ]]not[ ],"${var}"not$var- See
rules/bash-style/RULE.mdfor full conventions
Markdown
- Wrap prose at 72–80 characters
- ATX headings,
-for lists, fenced code blocks - See
rules/markdown-style/RULE.mdfor full conventions
Git
Follow rules/git-naming/RULE.md
for branch names, commit messages, and the Assisted-by
trailer. See the commit-conventions skill for the full
commit workflow.
- Do not push without explicit user confirmation
- Do not force push without explaining the impact first
- Commit freely when asked, but pushing is a separate action
make pushpushes the branch and any tags that were not pushed yet, after asking. The user runs it, except when the agent opens a new pull request: the user has authorized the agent to runmake push YES=1then, before creating the PR. Never push at any other time without confirmation
Skills and rules
- Distributable artifacts must be platform-agnostic
- Skills: SKILL.md under 500 lines, target 95%+ on
tessl skill review - Rules: RULE.md under 100 lines, every convention literally enforceable
- Each artifact gets a CHANGELOG.md (Keep a Changelog format)
- External sources go in
references/ACKNOWLEDGMENTS.md - Do not run
tesslCLI commands without asking the user first
Symlinks
Distributable artifacts are symlinked into .agents/ for
local use:
.agents/skills/create-adr -> ../../skills/create-adr
.agents/rules/bash-style -> ../../rules/bash-styleClaude Code reads slash commands from .claude/commands, which
links to the local prompts, so each file in .agents/prompts/
is a command:
.claude/commands -> ../.agents/promptsReleasing
- Distributable artifacts get git tags:
skills/<name>/v<version> - Local artifacts (in
.agents/) are not tagged - Changelogs must not mention dev-only files
(
.tessl-plugin/,.tesslignore, tessl.json)
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.

