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/continuous-learning

Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.

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babysitter
1.8k200 skills3 agents21 commands1 MCP
Install
$ npx -y skills add a5c-ai/babysitter --skill continuous-learning --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/continuous-learning

Context preview

The summary Claude sees to decide when to auto-load this skill.

Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.

SKILL.md

continuous-learning.SKILL.md
name: continuous-learning
description: Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.
allowed-tools: Read, Write, Edit, Bash, Grep, Glob
graph:
  domains: [domain:software-engineering]
  skillAreas: [skill-area:agentic-loops, skill-area:orchestration-loop]
  workflows: [workflow:feature-development]
  topics: [topic:developer-experience]
  roles: [role:tech-lead, role:backend-engineer]
  • 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 context token usage
  • Identify low-value context for compression
  • Archive completed phases to memory files
  • Calculate token savings per suggestion

When to Use

  • End of development sessions
  • After significant code reviews
  • After debugging sessions
  • Periodically during long sessions

Agents Used

  • `continuous-learning` (custom agent for this skill)
  • `context-engineering` (compaction analysis)
Read more
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