| name | update-skills |
| description | Create or update repository skills and instructions when major learnings are discovered during a session. Use when the user says "learn!", when a significant pattern or pitfall is identified, or when reusable domain knowledge should be captured for future sessions. |
Update Skills & Instructions
When a major repository learning is discovered — a recurring pattern, a non-obvious pitfall, a crucial architectural constraint, or domain knowledge that would save future sessions significant time — capture it as a skill or instruction so it persists across sessions.
When to Use
- The user explicitly says "learn!" or asks to capture a learning
- You discover a significant pattern or constraint that cost meaningful debugging time
- You identify reusable domain knowledge that isn't documented anywhere in the repo
- A correction from the user reveals a general principle worth preserving
Decision: Skill vs Instruction vs Learning
Add a learning to an existing instruction when:
- The insight is small (1-4 sentences) and fits naturally into an existing instruction file
- It refines or extends an existing guideline
- Follow the pattern in
.github/instructions/learnings.instructions.md
Create or update a skill (.github/skills/{name}/SKILL.md or .agents/skills/{name}/SKILL.md) when:
- The knowledge is substantial (multi-step procedure, detailed guidelines, or rich examples)
- It covers a distinct domain area (e.g., "how to debug X", "patterns for Y")
- Future sessions should be able to invoke it by name
Create or update an instruction (.github/instructions/{name}.instructions.md) when:
- The rule should apply automatically based on file patterns (
applyTo) or globally
- It's a coding convention, architectural constraint, or process rule
- It doesn't need to be invoked on demand
Procedure
1. Identify the Learning
Reflect on what went wrong or what was discovered:
- What was the problem or unexpected behavior?
- Why was it a problem? (root cause, not symptoms)
- How was it fixed or what's the correct approach?
- Can it be generalized beyond this specific instance?
2. Check for Existing Files
Before creating new files, search for existing skills and instructions that might be the right home:
# Check existing skills
ls .github/skills/ .agents/skills/ 2>/dev/null
# Check existing instructions
ls .github/instructions/ 2>/dev/null
# Search for related content
grep -r "related-keyword" .github/skills/ .github/instructions/ .agents/skills/
3a. Add to Existing File
If an appropriate file exists, add the learning to its ## Learnings section (create the section if it doesn't exist). Each learning should be 1-4 sentences.
3b. Create a New Skill
If the knowledge warrants a standalone skill:
- Choose the location:
.github/skills/{name}/SKILL.md for project-level skills (committed to repo)
.agents/skills/{name}/SKILL.md for agent-specific skills
- Create the directory and SKILL.md with frontmatter:
---
name: {skill-name}
description: {One-line description of when and why to use this skill.}
---
# {Skill Title}
{Body with guidelines, procedures, examples, and learnings.}
- The
name field must match the parent folder name exactly.
- Include concrete examples — skills with examples are far more useful than abstract rules.
3c. Create a New Instruction
If the knowledge should apply automatically:
---
description: {When these instructions should be loaded}
applyTo: '{glob pattern}' # optional — auto-load when matching files are attached
---
{Content of the instruction.}
4. Quality Checks
Before saving:
- Is the learning general enough to help future sessions, not just this one?
- Is it specific enough to be actionable, not just a vague principle?
- Does it include a concrete example of right vs wrong?
- Does it avoid duplicating knowledge already captured elsewhere?
- Is the description clear enough that the agent will know when to invoke/apply it?
5. Inform the User
After creating or updating the file:
- Summarize what was captured and where
- Explain why this location was chosen
- Note if any existing content was updated vs new content created