continual-learning
SKILL.md
Continual Learning for AI Coding Agents
Your agent forgets everything between sessions. Continual learning fixes that.
The Loop
Experience → Capture → Reflect → Persist → Apply
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Quick Start
Install the hook (one step):
cp -r hooks/continual-learning .github/hooks/
Auto-initializes on first session. No config needed.
Two-Tier Memory
Global (~/.copilot/learnings.db) — follows you across all projects:
- Tool patterns (which tools fail, which work)
- Cross-project conventions
- General coding preferences
Local (.copilot-memory/learnings.db) — stays with this repo:
- Project-specific conventions
- Common mistakes for this codebase
- Team preferences
How Learnings Get Stored
Automatic (via hooks)
The hook observes tool outcomes and detects failure patterns:
Session 1: bash tool fails 4 times → learning stored: "bash frequently fails"
Session 2: hook surfaces that learning at start → agent adjusts approach
Agent-native (via store_memory / SQL)
The agent can write learnings directly:
INSERT INTO learnings (scope, category, content, source)
VALUES ('local', 'convention', 'This project uses Result<T> not exceptions', 'user_correction');
Categories: pattern, mistake, preference, tool_insight
Manual (memory files)
For human-readable, version-controlled knowledge:
# .copilot-memory/conventions.md
- Use DefaultAzureCredential for all Azure auth
- Parameter is semantic_configuration_name=, not semantic_configuration=
Compaction
Learnings decay over time:
- Entries older than 60 days with low hit count are pruned
- High-value learnings (frequently referenced) persist indefinitely
- Tool logs are pruned after 7 days
This prevents unbounded growth while preserving what matters.
Best Practices
- One step to install — if it takes more than
cp -r, it won't get adopted - Scope correctly — global for tool patterns, local for project conventions
- Be specific —
"Use semantic_configuration_name="beats"use the right parameter" - Let it compound — small improvements per session create exponential gains over weeks
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