--- name: document-learnings description: Guidelines for documenting reusable patterns discovered during work. Use when completing tasks that reveal non-obvious workflows or project conventions. --- ## Purpose Capture reusable knowledge so future sessions avoid repeated debugging and rediscovery. ## When to Document - After discovering a required workflow with multiple mandatory steps - After fixing a non-obvious bug or uncovering a subtle constraint - After establishing a new pattern or convention - After the user corrects the model's approach — this reveals the user's preferred way of working - When the user asks to document learnings ## When NOT to Document - Obvious or standard practices - One-off debugging that won't recur - Information already well-covered in existing docs ## Where to Put Documentation | Scope | Location | |-------|----------| | Public user documentation | `Documentation/src/` | | Architecture decisions | `docs/adr/NNNN-*.md` and `docs/adr/README.md` | | Durable intent, specification, and plan | `intent//{intent,spec,plan}.md` | | Project-specific agent workflows | `.opencode/skills//SKILL.md` | | Short reference needed every invocation | `AGENTS.md` | | Reproducible agent regression | `evals/cases//` | ## Skill File Format ``` --- name: skill-name description: Short description. Use when ... --- ## Purpose What this skill covers. ## Instructions ### 1. Step One Specific, actionable steps with code examples. ## Common Pitfalls | Pitfall | Fix | |---------|-----| | ... | ... | ``` ## Tips - Keep skill descriptions actionable - Include code examples and common pitfalls tables - Commit skills to the repo so the whole team benefits - Pay special attention when the user corrects or refines the model's output — that feedback encodes the user's standards and preferences for this project - Document the "why" behind conventions, not just the "what" — e.g., why a checklist exists, what goes wrong if a step is skipped