docs: add agent skill documents for LLM-driven workflow execution#53
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- docs/agent-skill.md: full agent reference (submit, poll, outputs, error handling, auth, examples) designed to be pasted into a system prompt or referenced from a slash command - docs/agent-quick-ref.md: compact 40-line cheat sheet for agents with tight context budgets - .claude/commands/run-wes-workflow.md: Claude Code slash command (/run-wes-workflow) with step-by-step agent instructions - CLAUDE.md: auto-loaded by Claude Code, points agents to key files and lists the core API endpoints - llms.txt: llmstxt.org convention index for LLM crawlers and agents - README.md: add Agent Skill link to the documentation list Closes #52 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
… spec Remove field-by-field descriptions already covered by the OpenAPI spec. Keep the state machine, E2E examples, error handling, and auth sections. Add a pointer to the spec and interactive docs as SSOT for schema details. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
These are agent-specific skill definitions that belong in personal config, not in the repo itself. The application should expose good APIs and let agents discover them, rather than embedding agent instructions in the codebase. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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LGTM |
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Closes #52
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docs/agent-skill.md: agent interaction reference — workflow sequence, state machine, E2E examples, error handling, auth. References the OpenAPI spec as SSOT for schema details rather than duplicating them.docs/agent-quick-ref.md: compact ~40-line cheat sheet for agents with tight context budgetsllms.txt: llmstxt.org convention index for LLM crawlers and agentsREADME.md: add Agent Skill link to the documentation list