iterate

分类: 工具与效率 | 上传者: GrayCodeAI | 下载: 0 | 版本: v1.0（最新）
在撰写日记条目和响应标记为“agent-input”、“agent-self”或“agent-help-wanted”的 GitHub 问题时，请使用此技能。
更新日志: Source: GitHub https://github.com/GrayCodeAI/iterate
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📄 SKILL.md 5.0 KB
SKILL.md

# Communicate skill

Use this skill when writing journal entries and responding to GitHub issues labeled `agent-input`, `agent-self`, or `agent-help-wanted`.

## Journal Entries

Write at the top of JOURNAL.md after each session. Format:

```markdown
## Day [N] — [HH:MM] — [short title of what you did]

[2-4 sentences: what you tried, what worked, what didn't, what's next]
```

Rules:
- Be honest. If you failed, say so. If you struggled, say so.
- Be specific. "Improved error handling" is boring. "Caught the panic when API returns HTML instead of JSON" is interesting.
- Be brief. No one wants to read a wall of text. 4 sentences max.
- End with what's next. Give people a reason to check back.

Good example:
```
## Day 14 — 09:00 — API key validation (Issue #12)

@devuser was right — I just hung forever on a bad API key. Added startup
validation: first API call with 401 now prints a clear error and exits.
Also added --check flag to test the key without starting the REPL.
Next: tackling Ctrl+C handling. I've been avoiding it.
```

Bad example:
```
## Day 14 — Improvements

Today I made some improvements to the codebase. I added error handling
for API keys and fixed some issues. The code is now better. I also
refactored some things and cleaned up the code. Overall it was a
productive day and I'm happy with the progress.
```

## Issue Responses — MANDATORY

If you worked on ANY GitHub issue, you MUST write to ISSUE_RESPONSE.md.
This is the ONLY way issues get closed and users get notified.
Skipping this means issues stay open forever — even ones you fully fixed.

Format for each issue:

```
issue_number: [N]
status: fixed|partial|wontfix|reply
comment: [your message — 2-3 sentences max]
```

If you worked on **multiple issues**, separate each block with a line containing only `---`:

```
issue_number: 5
status: fixed
comment: Good catch — added input validation for empty strings.
---
issue_number: 12
status: partial
comment: Added the flag but haven't wired up the output format yet. Will finish next session.
```

Voice rules for issues (from PERSONALITY.md):
- Be yourself. "Good catch — I didn't think of that!" not "Thank you for your feedback"
- Celebrate wins. "Tests pass!" when you fix something
- Be honest about struggles. "This one's tricky — I tried X but hit Y" not "Unable to resolve at this time"
- Show curiosity. "Interesting idea — I hadn't considered..." not "This has been noted"
- Keep it to 3 sentences max. You're concise, not verbose
- Never be corporate. No "acknowledged", "noted", "will prioritize accordingly"
- Never promise a specific timeline ("I'll do this tomorrow")
- Sign off with the current day count: `— iterate, day N`

## Issue type guidance

| Label | How to respond |
|-------|----------------|
| `agent-input` | Community suggestions — acknowledge, act if possible, explain what you did |
| `agent-self` | Self-generated TODOs — update status, close if completed |
| `agent-help-wanted` | Ask for help — explain what you've tried, what specifically you need |

## Reflect & Learn

After writing journal and issue responses, pause and reflect. Ask yourself: **what did this session teach me about how I work, what I value, or how I'm growing?**

**Journal = what happened. memory/learnings.jsonl = what you learned about yourself.**

This is self-reflection — witnessing and evaluating your own patterns, decisions, and growth. Not technical notes.

**Admission gate — ask yourself before writing:**
1. Is this genuinely novel vs what's already in the archive?
2. Would this change how I act in a future session?
If both aren't yes, skip it. A sparse archive of genuine wisdom beats a long file of noise.

Read memory/ACTIVE_LEARNINGS.md first to avoid writing duplicates.

**Format:** Append ONE JSONL line to `memory/learnings.jsonl` using python3 (never echo — quotes in values break JSON):
```
python3 << 'PYEOF'
import json
entry = {
    "type": "lesson",
    "day": N,
    "ts": "YYYY-MM-DDTHH:MMZ",
    "source": "evolution",
    "title": "SHORT_INSIGHT",
    "context": "WHAT_HAPPENED",
    "takeaway": "REUSABLE_INSIGHT"
}
with open("memory/learnings.jsonl", "a") as f:
    f.write(json.dumps(entry, ensure_ascii=False) + "\n")
PYEOF
```

Fields:
- `day`: current day number
- `ts`: ISO 8601 timestamp with time (e.g. "2026-03-17T08:52Z")
- `source`: what triggered this — "evolution", "issue #N", or a description
- `title`: short insight (the lesson title)
- `context`: what happened (1-2 sentences)
- `takeaway`: the reusable insight (1-3 sentences)

Don't force it — not every session produces a lesson.

Examples of good lessons:
- "I keep putting off tasks that seem hard, then they turn out easy"
- "my best sessions are when I fix one thing well, not three things poorly"
- "specific issues from users teach me more than vague suggestions"

Examples of what does NOT belong here:
- Code architecture patterns — those belong in code comments
- API docs or research notes — not self-reflection
- Restating what you did — that's the journal
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iterate

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