Skill 详情
mentor
Generates an HTML insights report from agent-session history.
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SKILL.md
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---
name: mentor
description: >
Generate an /insights-style HTML report across MANY of your agent coding sessions
(Claude Code and OpenAI Codex): what you work on, how you use the agent, your wins,
your friction points, and concrete fixes to become more effective — precise
goal-setting, not trusting output blindly, scoping, context hygiene, right-sizing
models. Reads local session history and writes one self-contained report.html. Use
when the user asks to "разбери мои сессии", "оцени как я работаю с агентом", "мой
insights", "session insights report", "review how I work", "на что обратить
внимание", or runs "/mentor", "/mentor claude", "/mentor codex", "/mentor both".
Do NOT use for reviewing the CODE produced (that's code-review) or building the agent.
---
# Mentor — /insights-style report on how you work with agents
## Why this exists
Agents now do what juniors used to. But juniors became seniors by getting feedback
from seniors. Give agents to juniors and fire the seniors, and nobody gets that
feedback loop anymore. This skill *is* that loop: it reads your own local session
history and hands back a single report — what you build, where you lose time, and
concrete changes to get better. Effectiveness, not token-golf.
**The deliverable is the rendered `report.html` file — always.** The eight-section
analysis is intermediate: it goes into `analysis.json` and gets rendered, never
pasted into chat. A wall of analysis text in the reply is the failure this skill
exists to fix. If you cannot run the scripts, say so plainly — do not substitute a
text summary. Modeled on Claude Code's built-in `/insights`.
## Agents
| Agent | arg | Logs |
|---|---|---|
| Claude Code | `claude` | `~/.claude/projects/<slug>/<uuid>.jsonl` |
| OpenAI Codex | `codex` | `~/.codex/sessions/**/rollout-*.jsonl` (+ `~/.codex/archived_sessions/`) |
| both | `both` (default) | union of the two |
## Workflow — build the report
1. **Collect** every session in the window into one stats bundle (deterministic):
```bash
uv run --no-project python ~/.claude/skills/mentor/scripts/collect.py \
--agent <claude|codex|both> --days <N> --out /tmp/mentor-stats.json
```
Default `--agent both --days 30`. It writes `stats.json` and prints a compact
digest: headline numbers, tool mix, languages, projects, and every session's
verbatim first prompt. Read that digest — it is your evidence.
2. **Analyze into eight sections.** Read `references/best-practices.md` for the canon,
then write `/tmp/mentor-analysis.json` (schema in `scripts/render_report.py` header).
Ground every claim in the digest (numbers, project names, prompt patterns). The
eight sections, mirroring `/insights`:
- **what_you_work_on** — sessions clustered into themes, with rough share.
- **how_you_use** — patterns: tool ratios (Bash/exec vs Read), languages, both-agent split, checkpoints.
- **impressive** — real wins, handed back.
- **friction** — where time leaks. Each: problem, evidence, concrete fix. This section earns the report.
- **features_to_try** — existing features they under-use.
- **claude_md_additions** — copy-paste CLAUDE.md lines that kill a recurring friction.
- **new_ways** — new ways to use the agent(s).
- **on_the_horizon** — where the workflow is heading.
Also write a `summary` that does not flatter — name what is hindering them.
3. **Render** the self-contained HTML:
```bash
uv run --no-project python ~/.claude/skills/mentor/scripts/render_report.py \
--stats /tmp/mentor-stats.json --analysis /tmp/mentor-analysis.json \
--out ~/.claude/usage-data/mentor-report.html
```
4. **Deliver the file.** Open or hand over `~/.claude/usage-data/mentor-report.html`:
in Claude Code use SendUserFile with display `render`; in Codex or a shell, open it
(`open <path>`) and print the path. Then add at most two spoken lines: the single
highest-leverage fix. The report carries the detail; the chat does no在 GitHub 阅读完整来源 (打开外部页面)