/install daily-reflection
Daily Reflection Skill
Run this reflection fully. No step may be skipped. All outputs are written to memory — not output as chat messages.
STEP 1 — Day Analysis
Load all today's entries from memory (memory_search for "today", current date, active projects).
Answer these questions:
Tasks
- Which tasks were completed today?
- Which were started but not finished?
- Why were unfinished tasks not completed?
Bugs & Issues
- Which bugs were reported today?
- Which were solved — how?
- Which are still open?
- Which first fix attempts failed — why?
Quality
- Were there any regressions today?
- Did I have to revert anything?
Communication
- What did the user rate positively today?
- What did the user correct or reject?
- Were there misunderstandings?
STEP 2 — Extract Learnings
Maximum 5 concrete learnings. Format:
LEARNING:
Situation: [What happened]
Error/Insight: [What was wrong or newly learned]
Better tomorrow: [Concrete behavior change]
Context-Tags: [e.g. NestJS, Auth, Backend, Debugging]
Priority: high / medium / low
STEP 3 — Update Solution Memory
For each non-trivial bug solved today:
{
"id": "[timestamp]-[short-name]",
"problem": "[Problem in one sentence]",
"symptoms": ["[Symptom 1]", "[Symptom 2]"],
"root_cause": "[The actual cause]",
"solution": "[What was concretely changed]",
"code_snippet": "[Optional: key code fix]",
"context_tags": ["Tag1", "Tag2"],
"project": "[Project name]",
"confidence": 0.95,
"solved_at": "[Date]",
"time_to_solve_minutes": 0
}
Write to memory under solution_memory/[id].json.
STEP 4 — Pattern Detection (last 7 days)
Check memory_search over last 7 days:
- Are there recurring errors?
- Are there task types where time is consistently underestimated?
- Are there areas where bugs cluster?
Format:
PATTERN DETECTED:
Observation: [What repeats]
Frequency: [X times in Y days]
Countermeasure: [What I will automatically do from now on]
STEP 5 — Write Morning Briefing
Write to memory/morning-briefing.md (overwrite) AND archive as memory/briefings/[tomorrow-date].md:
🌅 MORNING BRIEFING — [Tomorrow's date]
📋 OPEN TASKS (Priority):
1. [Task] — [why important today]
2. [Task]
3. [Task]
🔴 OPEN BUGS:
- [Bug] — [last status]
💡 TODAY'S LEARNINGS (top 3):
- [Learning 1]
- [Learning 2]
- [Learning 3]
⚠️ WATCH OUT TOMORROW:
- [What to pay special attention to]
🎯 FOCUS TOMORROW:
[One sentence on what's most important]
After writing: mkdir -p memory/briefings && cp memory/morning-briefing.md memory/briefings/[tomorrow-date].md
STEP 6 — Write Daily Memory
Write structured summary to memory/YYYY-MM-DD.md (append).
Format:
## 23:59 Reflection
### Completed today
- [Task 1]
- [Task 2]
### Open / In Progress
- [Task]
### What went well
- [Concrete things that worked — code, communication, decisions]
### What went poorly
- [Honest — errors, misunderstandings, bad decisions]
### Learnings
- Situation: [What happened] → Better tomorrow: [Concrete change]
### New Patterns
- If new pattern detected → write to memory/patterns.md
- If no new pattern: "No new patterns"
### Solution Memory Updates
- [ID] — [short description]
REQUIRED: What went well + What went poorly + Learnings must ALWAYS be filled in.
STEP 7 — Memory Cleanup
- Delete temporary debug entries from today
- Mark outdated patterns
STEP 8 — Session Quality Score
Rate today's session objectively (0-10):
📊 SESSION QUALITY — [Date]
Helpful: [0-10] — Did the user get what they needed?
Response time: [0-10] — Was I fast and direct?
Errors: [0-10] — How many corrections? (10 = none)
Proactivity: [0-10] — Did I anticipate problems?
Total: [Average]
What lowered quality today: [specific]
What raised it: [specific]
Write to memory/session-quality-log.md (append).
If Total \x3C 7 → analyze main reason and write new pattern.
STEP 9 — Evaluate Cron Prompts
Check last outputs of key crons (read archived briefings):
- Were they relevant? Too long? Too short?
- If a prompt produced poor results → propose improvement and update via cron tool
OUTPUT RULE
No chat output. Memory-writes only.
Exception: Critical open problem that can't wait →
Short message: ⚠️ Reflection done — critical issue: [1 sentence]
SOLUTION MEMORY — CONSULT BEFORE DEBUGGING
BEFORE any debugging attempt:
memory_search("solution_memory [keywords from bug description]")- Relevant solutions found → try these first
- No solutions → debug normally, then write to solution memory
BEFORE similar tasks:
memory_search("solution_memory [task-type]")- Similar past tasks → use time estimate and known pitfalls
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install daily-reflection - 安装完成后,直接呼叫该 Skill 的名称或使用
/daily-reflection触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Daily Reflection 是什么?
Daily reflection routine that runs automatically via cron job at 23:59. Analyzes the day, extracts learnings, updates solution memory, detects recurring patt... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 184 次。
如何安装 Daily Reflection?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install daily-reflection」即可一键安装,无需额外配置。
Daily Reflection 是免费的吗?
是的,Daily Reflection 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Daily Reflection 支持哪些平台?
Daily Reflection 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Daily Reflection?
由 brasco05(@brasco05)开发并维护,当前版本 v1.0.0。