core-context-management-learning-from-past-work
Sub-skill of core-context-management: Learning from Past Work (+2).
Best use case
core-context-management-learning-from-past-work is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of core-context-management: Learning from Past Work (+2).
Teams using core-context-management-learning-from-past-work should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/learning-from-past-work/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How core-context-management-learning-from-past-work Compares
| Feature / Agent | core-context-management-learning-from-past-work | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of core-context-management: Learning from Past Work (+2).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Learning from Past Work (+2)
## Learning from Past Work
The skill tracks patterns across sessions:
```yaml
# .Codex/state/context-patterns.yaml
patterns:
frequently_referenced:
- ".Codex/docs/agents.md" # 45 loads
- ".Codex/docs/execution-patterns.md" # 32 loads
rarely_used:
- "verbose section X" # 0 references in 30 days
*See sub-skills for full details.*
## Daily Analysis Tasks
1. **Size Check**: Validate all AGENTS.md files against limits
2. **Pattern Analysis**: Analyze git commits for instruction patterns
3. **Usage Tracking**: Check which docs were loaded
4. **Suggestion Generation**: Create improvement proposals
5. **Report Generation**: Output daily health report
## Improvement Workflow
```
1. Validate sizes → Report violations
2. Analyze patterns → Identify redundancy
3. Check usage → Find unused content
4. Generate suggestions → Propose changes
5. Apply approved changes → Update files
6. Commit → Track improvements
```
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