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The `.opencode/commands/*.md` frontmatter referenced agents with the Claude Code plugin namespace (`agent: everything-claude-code:<name>`), but ECC's opencode integration registers its agents unscoped in `opencode.json`'s `agent` map (`code-reviewer`, `planner`, ...), and that file's own `command` section already references them unscoped. The `everything-claude-code:` scope resolves under no opencode config (the opencode plugin package is `ecc-universal`, and inline-config agents are bare), so subtask commands like `/code-review` hard-fail with `Agent not found: everything-claude-code:code-reviewer`. Non-subtask commands fall back to the default agent and appear to work — which is why only some commands failed. Strip the `everything-claude-code:` prefix from all 30 command frontmatter agent ids so they match the registered agents, fix the MIGRATION.md example, and replace the test that enforced the broken scoped invariant with one that asserts each command agent id is a registered opencode agent (fails on the old scoped ids, passes on the fix). Fixes #2477
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description, agent
| description | agent |
|---|---|
| Extract patterns and learnings from current session | build |
Learn Command
Extract patterns, learnings, and reusable insights from the current session: $ARGUMENTS
Your Task
Analyze the conversation and code changes to extract:
- Patterns discovered - Recurring solutions or approaches
- Best practices applied - Techniques that worked well
- Mistakes to avoid - Issues encountered and solutions
- Reusable snippets - Code patterns worth saving
Output Format
Patterns Discovered
Pattern: [Name]
- Context: When to use this pattern
- Implementation: How to apply it
- Example: Code snippet
Best Practices Applied
- [Practice name]
- Why it works
- When to apply
Mistakes to Avoid
- [Mistake description]
- What went wrong
- How to prevent it
Suggested Skill Updates
If patterns are significant, suggest updates to:
skills/coding-standards/SKILL.mdskills/[domain]/SKILL.mdrules/[category].md
Instinct Format (for continuous-learning-v2)
{
"trigger": "[situation that triggers this learning]",
"action": "[what to do]",
"confidence": 0.7,
"source": "session-extraction",
"timestamp": "[ISO timestamp]"
}
TIP: Run /learn periodically during long sessions to capture insights before context compaction.