worklog

个人工作回顾,整合本地 git 统计、GitHub 和云效数据,输出结构化 Markdown 报告。

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Install skill "worklog" with this command: npx skills add niracler/skill

Worklog

个人工作回顾,整合本地 git 统计、GitHub 和云效数据,输出结构化 Markdown 报告。

Prerequisites

Tool Type Required Install

git cli Yes brew install git or git-scm.com

gh cli No brew install gh then gh auth login

jq cli No brew install jq

yunxiao skill No Included in npx skills add niracler/skill

yunxiao MCP mcp No See yunxiao skill for setup

Do NOT proactively verify these tools on skill load. If a command fails due to a missing tool, directly guide the user through installation and configuration step by step.

Mode Selection

User says Mode

「日报」「今天做了什么」"daily worklog" Daily

「周报」「本周总结」"weekly worklog" Weekly

「工作回顾」「worklog」 Ask user

Workflow

  • Determine mode + dates → 2. Collect data (parallel) → 3. Integrate + render

If no data from any source, output: "No activity recorded for {period}."

Step 1: Determine Dates

Mode --since --until

Daily Today (YYYY-MM-DD ) Today

Weekly Monday of current week Today

Step 2: Collect Data (Parallel)

Run all three sources concurrently using subagents:

Other agent environments: the three sources are independent — run them sequentially if parallel execution is not available.

┌─ Bash: stats.sh --since {since} --until {until} (local git) ├─ Bash: github.sh --since {since} --until {until} (GitHub) └─ subagent: 云效 MR/Bug/Task (yunxiao skill)

2a. Local Git Statistics

bash scripts/stats.sh --since YYYY-MM-DD --until YYYY-MM-DD

Output: JSON with period , repos[] (name, path, remote_url, commits, insertions, deletions, files_changed, authors, first_commit, last_commit), and totals (repos_active, repos_scanned, commits, insertions, deletions).

Other agent environments: run this command directly via shell.

2b. GitHub Activity

bash scripts/github.sh --since YYYY-MM-DD --until YYYY-MM-DD

Output: JSON with period , prs[] (repo, number, title, state, created_at, merged_at), issues[] (repo, number, title, state, created_at), and totals (prs_merged, prs_open, issues_opened, issues_closed).

Username is auto-detected via gh api user . No manual configuration needed.

Other agent environments: run this command directly via shell.

2c. 云效 Activity

Start subagent to invoke yunxiao skill with specific MCP queries:

Task tool:

  • subagent_type: general-purpose

  • prompt: 使用 yunxiao skill 获取 {since} 到 {until} 的工作记录

    先通过 MCP 自动获取身份:

    • get_current_user → 用户名
    • get_current_organization_info → 组织 ID

    然后查询:

    1. MR: list_change_requests — state=all, authorCodeupIdList=[user_id] 返回: id, title, state, sourceRef, targetRef, createTime, mergeTime
    2. Bug: search_workitems — category=Bug, space=..., conditions=[assignee=username] 返回: identifier, subject, status, assignedTo, gmtModified
    3. 任务: search_workitems — category=Task, space=..., conditions=[assignee=username] 返回: identifier, subject, status, assignedTo, gmtModified

Other agent environments: if yunxiao skill is unavailable, skip and note "云效数据未获取".

Step 3: Integrate and Render

Merge all sources. For any failed source, note it (e.g., "GitHub 数据未获取") and continue with available data.

Render using template.md.

Weekly mode additionally requires:

Commit distribution — For active repos from stats.sh, count commits per weekday:

git log --since={since} --until={until_next_day} --author="{author}" --format="%aI" |
awk -F'T' '{print $1}' | sort | uniq -c

Render as ASCII bar chart (Mon–Fri).

Highlights — From stats.sh data: most active repo (by commits), largest change (by insertions).

Data Source Degradation

Source failed Behavior

GitHub Note "GitHub 数据未获取", continue

云效 Note "云效数据未获取", continue

Both remote Output local git stats only

Common Issues

Issue Fix

stats.sh empty repos Check date range and --author filter

github.sh fails / 401 Run gh auth login

云效 MCP not connected Check MCP server configuration

Identity Detection

All user identities are auto-detected at runtime. See user-config.md for detection sources and prerequisites.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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