continuous-learning
Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.
npx skills add a5c-ai/babysitter --skill continuous-learning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
- Analyze code changes and implementation approaches - Identify recurring patterns and conventions - Extract architectural decisions with rationale - Capture error resolution strategies - Record tool usage patterns - Assign initial confidence scores (0-100) ### 2. Pattern Evaluation - Score generalizability (0-100): cross-project applicability - Score reliability (0-100): validation frequency - Score impact (0-100): outcome improvement - Composite: generalizability * 0.3 + reliability * 0.4 + impact * 0.3 - Filter below confidence threshold (default: 75) - Merge similar patterns ### 3. Skill Creation - Convert high-confidence patterns to SKILL.md format - Write clear instructions with phases - Include when-to-use and when-not-to-use sections - Add usage examples and agent references - Follow kebab-case naming convention ### 4. Organization - Categorize: language-specific, domain, business, meta - Resolve naming conflicts - Update indexes and manifests - Create dependency graphs ### 5. Version and Export - Assign semantic versions by maturity - Create portable export bundles - Include usage examples and test cases - Generate import instructions ## Strategic Compaction - Analyze cont
- 2. Pattern Evaluation
- 3. Skill Creation
- 4. Organization
- 5. Version and Export
- Strategic Compaction
- When to Use
- Agents Used
What does the continuous-learning skill do?
Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill continuous-learning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.