Agent skill
create-docs
Create or update .meridian/docs/ knowledge files for a module or directory. Produces reference docs with frontmatter for context routing.
Install this agent skill to your Project
npx add-skill https://github.com/markmdev/meridian/tree/main/skills/create-docs
SKILL.md
Docs
Document a module so future agents (and humans) understand it without re-reading the code. Every doc must be worth the context window space it occupies.
Process
1. Scope
Identify the module or directory the user specified. Verify it exists. If ambiguous, clarify before proceeding.
2. Check existing docs
Search .meridian/docs/ for docs already covering this area — grep for the module name, read matches. Understand what's documented, what's missing, what's stale.
3. Explore the module
Launch Explore agents to build deep understanding:
- Entry points — what starts execution? Exports, routes, handlers, CLI commands
- Data flow — what comes in, how it transforms, where it goes
- Dependencies — what this module uses, what depends on it
- Patterns — conventions, unusual approaches, implicit contracts
- Gotchas — non-obvious behavior that would trip someone up
- Integration points — connections to other modules, services, external APIs
Spawn multiple Explore agents in parallel for different aspects. Follow up on findings — expect 2+ rounds.
4. Identify topics
Each doc covers one topic a future agent would need. Split by topic, not by file. Common categories:
- Architecture/overview — how the module works as a whole
- Integration guide — external API, service, or cross-module connection
- Non-obvious behavior — gotchas, sharp edges, implicit contracts
- Complex workflow — multi-step process, state machine, async flow
Small modules might produce one doc. Large modules might produce three or four.
5. Write docs
For each topic, create a file in .meridian/docs/:
- Filename: kebab-case reflecting the topic (
billing-architecture.md,stripe-webhook-handling.md) - Frontmatter:
summary(one line) andread_when(2-5 keywords matching task contexts where an agent would need this) - Content: what it is, how it works, why it's designed this way, gotchas
- References: point at code with
file:line, not code snippets (snippets go stale) - Length: under ~100 lines per doc — if longer, split into multiple topics
If a doc already exists for a topic, update it. Don't create duplicates.
6. Validate read_when keywords
For each keyword, ask: "What would someone be doing when they need this?" Good keywords describe tasks, not topics:
- "modifying billing logic" — specific, matches real tasks
- "debugging webhook failures" — describes a situation
- "working with code" — too vague, matches everything
What NOT to document
- Function signatures and parameter lists — that's what code is for
- What the code already says clearly — focus on the non-obvious
- Every file in the module — only what's worth context window space
- Style or formatting conventions — that's for linters and CLAUDE.md
Checklist
- Every doc has
summaryandread_whenfrontmatter? -
read_whenkeywords match real task contexts? - Content is non-obvious knowledge, not code restated in English?
- File:line references instead of code snippets?
- Each doc covers one focused topic?
- Existing docs updated rather than duplicated?
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
planning
Interview-driven planning methodology that produces implementation-ready plans. Always use this skill INSTEAD of EnterPlanMode — it provides structured interviewing (20-40 clarifying questions), exhaustive parallel codebase exploration (5-15 Explore agents), verbatim requirements capture, and automated plan validation via plan-reviewer (must score 9+). Use for new features, refactoring, architecture changes, migrations, or any non-trivial implementation work.
ux-states-audit
Audit UI code for missing loading states, empty states, and error states. Every async operation and data-driven UI must handle all three. Finds gaps and implements the missing states using the app's existing patterns.
error-audit
Audit code for silent error swallowing, fallbacks to degraded alternatives, backwards compatibility shims, and UI that fails to show errors to the user. Finds and fixes all occurrences in the specified scope.
add-frontmatter
Scan all .md files in the project and add or fix YAML frontmatter (summary + read_when) so they can be discovered by context routers like Reflex.
observability-audit
Audit code for observability gaps — debug logs left in, errors caught without being logged, missing context on log entries, untracked slow operations. Uses the app's existing observability tooling exclusively.
verl-rl-training
Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.
Didn't find tool you were looking for?