kaimingwan/oh-my-kiro/omk-self-reflect

Claude Code and agent skill by kaimingwan/oh-my-kiro

Trust tier 3
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Checking that the SKILL.md file is still in the repository.

Agent self-learning: promote recurring episodes to rules, capture complex corrections. Trigger when hook outputs 🔥 or ⬆️ (promotion needed), 🚨 (complex correction), or when user says 'reflect', 'learn from this', 'remember this', 'always do X', 'never do Y', '@reflect'. Also trigger when same mistake pattern appears ≥3 times in episodes.

Install

npx vskill@latest install kaimingwan/oh-my-kiro/omk-self-reflect

SKILL.md

Trigger Examples

  • "记住,以后都要这样做"
  • "always use jq for JSON, never sed"
  • "@reflect 把这个教训沉淀一下"
  • "I told you this before, capture it"
  • "这个错误犯了好几次了,升级成规则"

Self-Reflect — Agent Self-Learning System

Scope (v3)

  1. Promotion execution: When hook outputs 🔥 or ⬆️, read episodes.md,

distill into 1-2 line rule, propose to user, write to rules.md if approved. Mark source episodes as promoted.

  1. Complex insight capture: When hook outputs 🚨 (complex) and the correction

is too complex for auto-capture (no simple DO/DON'T pattern), help user articulate and write to episodes.md via the same format.

NOT responsible for: daily capture (hook does it), dedup (hook does it), quality reporting (hook does it).

Sync Targets

ScenarioTarget
Top-level principle (user approved)AGENTS.md / CLAUDE.md (Principles section)
Promotion (≥3 same pattern)knowledge/rules.md (matching keyword section)
Complex insightknowledge/episodes.md
Code-enforceable rule.kiro/rules/enforcement.md

Writing to Protected Files (AGENTS.md / CLAUDE.md / .claude/rules/)

When user explicitly approves writing to a protected instruction file, agent MUST autonomously execute the full three-step flow — do NOT wait for the human to do it manually:

  1. touch .skip-instruction-guard
  2. Write the change
  3. rm -f .skip-instruction-guard

This bypasses the pre-write hook temporarily. Only do this when user has clearly approved the content in the current conversation.

Episode Format

DATE | STATUS | KEYWORDS | SUMMARY

  • DATE: YYYY-MM-DD
  • STATUS: active / resolved / promoted
  • KEYWORDS: 1-3 english technical terms, ≥4 chars, comma-separated
  • SUMMARY: ≤80 chars, no | character, actionable DO/DON'T

Promotion Process

  1. Read episodes.md, find keywords appearing ≥3 times in active episodes
  2. Distill into 1-2 line rule with DO/DON'T + trigger scenario
  3. Read knowledge/rules.md section headers (## [keywords])
  4. Clustering — choose target section by semantic match:
  • Compare episode keywords with each section's keyword list
  • Pick the section with most keyword overlap + semantic relevance
  • If no section matches → create new ## [episode-keywords] section at end of file
  • If placing in existing section → append new keywords to section header if they add value
  1. Propose to user for approval (show target section)
  2. If approved: append rule to chosen section, change source episodes status to promoted
  3. Output: ⬆️ Promoted to rules.md [section]: 'RULE'

Note: promoted episodes are auto-cleaned by context-enrichment on next session start.

Trigger Patterns

High confidence (90%):

  • remember: / always:
  • don't ... unless
  • I told you

Medium confidence (80%):

  • no, use X / not X, use Y
  • you missed / why didn't you
Exclusion Patterns (Don't capture)
  • Questions ending with ?
  • Requests starting with please / help me
  • Messages over 300 characters without clear DO/DON'T pattern

On Detection

  1. Confirm: 📝 Learning captured: '[preview]'
  2. Write to target file immediately (no queue)
  3. Continue answering the user's question

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
92
Repository forks
14
7-day trend score
23

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 17 May 2026, 5 months ago.

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