- name
- skill-experience-layer
- slug
- jilanfang/skill-experience-layer
- version
- 1.0.0
- description
- Pre-call experience checking + error-driven learning + layered experience storage. Avoid repeating mistakes, get smarter every time. Pre-integrated with self-improving and capability-evolver.
- read_when
- metadata
- author
- jilanfang
- license
- MIT
- tags
- self-improvement, memory, experience, learning, best-practices
Skill Experience Layer - 技能经验分层机制
What it does
Give your agent permanent, per-skill experience memory that:
- Pre-call checking: Before you call any skill, *automatically read the common mistakes and best practices* so you avoid repeating the same pitfalls
- Error-driven learning: When you make a mistake, *immediately record it to the corresponding skill's experience file*
- Automatic evolution: Integrates with
capability-evolverto automatically improve experience when mistakes repeat - Fits existing memory architecture: Works with your existing (instant → hot → short-term → long-term) memory hierarchy
Why this is different
| Approach | Traditional | skill-experience-layer |
|---|---|---|
| When lessons are applied | *After* mistake (retrospective) | *Before* next call (preventive) |
| Experience storage | Global reflection | Per-skill JSON files, easy to evolve |
| Integration | Self-contained, requires manual integration | Designed to fit your existing memory hierarchy |
| Automatic evolution | No built-in support | First-class integration with capability-evolver |
Workflow
1. For every skill you use
When you install a new skill:
- Create
memory/experiences/{skill-name}.json - Define
commonMistakes[]andbestPractices[] - *Before every invocation*, read it and remind yourself what to avoid
2. When you make a mistake
- Stop immediately, don't keep retrying
- Record the mistake in
self-improving/corrections.md - Update the skill's experience JSON:
- Add new entry to experiences[] with context, lesson, prevention - Update commonMistakes[] if it's a new pattern - Increment failureCount
- If the *same mistake repeats 2+ times*, trigger
capability-evolverto automatically improve the experience and best practices - Retry after updating
3. Regular maintenance
- Daily: End-of-day review mistakes, update experiences
- Weekly: Promote key lessons to long-term memory in MEMORY.md
- Automatic: capability-evolver can continuously improve stale experiences
Example experience file
{
"type": "skill",
"name": "my-skill",
"lastUpdated": "2026-03-17T19:00:00+08:00",
"totalExecutions": 10,
"successCount": 8,
"failureCount": 2,
"experiences": [
{
"id": "exp-my-skill-001",
"timestamp": "2026-03-10T20:00:00+08:00",
"context": "What you were doing when the mistake happened",
"lesson": "What you learned",
"severity": "medium",
"timesRepeated": 1,
"prevention": "What to do differently next time"
}
],
"patterns": {
"commonMistakes": [
"First common mistake to avoid",
"Second common mistake"
],
"bestPractices": [
"First best practice",
"Second best practice"
]
}
}Integration with existing systems
Works great with:
- self-improving: Uses the correction/reflection workflow
- capability-evolver: Automatic experience improvement when mistakes repeat
- Your existing memory hierarchy: Experiences live in
memory/experiences/, fits alongside your daily/weekly memory
Safety Boundaries
- ✅ Only modifies experience files in
memory/experiences/and skill-owned files - ✅ Never touches core root files (
MEMORY.md,SOUL.md,IDENTITY.md,USER.md,.env) — reads but does not write - ✅ Never accesses sensitive directories (
~/.ssh,~/.aws,/etc) - ✅ All automatic changes are backed up before applying, can roll back
- ✅ High-risk changes require human approval
Author
Created from practical experience integrating self-improvement into a working agent. This is the missing glue between general self-improving frameworks and your actual daily usage.
Get smarter with every mistake, don't repeat the same pit twice.