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daily-meeting-update每日会议更新

Agent Skill

daily-meeting-update 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,920

周安装

201

GitHub Stars

26,375

下载量

1,592
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:daily-meeting-update(每日会议更新)
来源仓库:https://github.com/davila7/claude-code-templates
仓库路径:skills/daily-meeting-update
安装命令:
npx skills add https://github.com/davila7/claude-code-templates --skill daily-meeting-update
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/davila7/claude-code-templates --skill daily-meeting-update

简介

daily-meeting-update 用于生成每日站会更新,通过交互式访谈整合 Claude Code 历史、GitHub 或 Jira 数据。

  • 适用于需要从会话记录、代码提交或任务系统中提取进展、问题和下一步行动的场景。
  • 先检测可用数据源,经用户授权后拉取信息,再开展结构化访谈并输出会议摘要。
  • 安装前需确认 API 权限、CLI 工具配置及是否涉及敏感数据读取或外部调用。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Daily Meeting Update

Generate a daily standup/meeting update through an interactive interview. Never assume tools are configured—ask first.


Workflow

START
  │
  ▼
┌─────────────────────────────────────────────────────┐
│ Phase 1: DETECT & OFFER INTEGRATIONS                │
│ • Check: Claude Code history? gh CLI? jira CLI?     │
│ • Claude Code → Pull yesterday's session digest     │
│   → User selects relevant items via multiSelect     │
│ • GitHub/Jira → Ask user, pull if approved          │
│ • Pull data NOW (before interview)                  │
├─────────────────────────────────────────────────────┤
│ Phase 2: INTERVIEW (with insights)                  │
│ • Show pulled data as context                       │
│ • Yesterday: "I see you merged PR #123, what else?" │
│ • Today: What will you work on?                     │
│ • Blockers: Anything blocking you?                  │
│ • Topics: Anything to discuss at end of meeting?    │
├─────────────────────────────────────────────────────┤
│ Phase 3: GENERATE UPDATE                            │
│ • Combine interview answers + tool data             │
│ • Format as clean Markdown                          │
│ • Present to user                                   │
└─────────────────────────────────────────────────────┘

Phase 1: Detect & Offer Integrations

Step 1: Silent Detection

Check for available integrations silently (suppress errors, don't show to user):

IntegrationDetection
Claude Code History~/.claude/projects directory exists with .jsonl files
GitHub CLIgh auth status succeeds
Jira CLIjira command exists
Atlassian MCPmcp__atlassian__* tools available
GitInside a git repository

Step 2: Offer GitHub/Jira Integrations (if available)

Claude Code users: Use AskUserQuestionTool tool for all questions in this phase.

GitHub/Git:

If HAS_GH or HAS_GIT:

"I detected you have GitHub/Git configured. Want me to pull your recent activity (commits, PRs, reviews)?"

Options:
- "Yes, pull the info"
- "No, I'll provide everything manually"

If yes:

"Which repositories/projects should I check?"

Options:
- "Just the current directory" (if in a git repo)
- "I'll list the repos" → user provides list

Jira:

If HAS_JIRA_CLI or HAS_ATLASSIAN_MCP:

"I detected you have Jira configured. Want me to pull your tickets?"

Options:
- "Yes, pull my tickets"
- "No, I'll provide everything manually"

Step 3: Pull GitHub/Jira Data (if approved)

GitHub/Git — For each approved repo:

  • Commits by user since yesterday
  • PRs opened/merged by user
  • Reviews done by user

Jira — Tickets assigned to user, updated in last 24h

Key insight: Store results to use as context in Phase 2 interview.

Step 4: Offer Claude Code History

This integration captures everything you worked on with Claude Code — useful for recalling work that isn't in git or Jira.

Detection:

ls ~/.claude/projects/*/*.jsonl 2>/dev/null | head -1

If Claude Code history exists, ask:

"I can also pull your Claude Code session history from yesterday. This can help recall work that isn't in git/Jira (research, debugging, planning). Want me to check?"

Options:
- "Yes, pull my Claude Code sessions"
- "No, I have everything I need"

If yes, run the digest script:

python3 ~/.claude/skills/daily-meeting-update/scripts/claude_digest.py --format json

Then present sessions with multiSelect:

Use AskUserQuestionTool with multiSelect: true to let user pick relevant items:

"Here are your Claude Code sessions from yesterday. Select the ones relevant to your standup:"

Options (multiSelect):
- "Fix authentication bug (backend-api)"
- "Implement OAuth flow (backend-api)"
- "Update homepage styles (frontend-app)"
- "Research payment providers (docs)"

Key insight: User selects which sessions are work-related. Personal projects or experiments can be excluded.

Do NOT run digest script when:

  • User explicitly says "No" to Claude Code history
  • User says they'll provide everything manually
  • ~/.claude/projects directory doesn't exist

If digest script fails:

  • Fallback: Skip Claude Code integration silently, proceed with interview
  • Common issues: Python not installed, no sessions from yesterday, permission errors
  • Do NOT block the standup flow — the script is supplemental, not required

Phase 2: Interview (with insights)

Claude Code users: Use AskUserQuestionTool tool to conduct the interview. This provides a better UX with structured options.

Use pulled data as context to make questions smarter.

Question 1: Yesterday

If data was pulled, show it first:

"Here's what I found from your activity:
- Merged PR #123: fix login timeout
- 3 commits in backend-api
- Reviewed PR #456 (approved)

Anything else you worked on yesterday that I missed?"

If no data pulled:

"What did you work on yesterday/since the last standup?"

If user response is vague, ask follow-up:

  • "Can you give more details about X?"
  • "Did you complete anything specific?"

Question 2: Today

"What will you work on today?"

Options:
- [Text input - user types freely]

If Jira data was pulled, you can suggest:

"I see you have these tickets assigned:
- PROJ-123: Implement OAuth flow (In Progress)
- PROJ-456: Fix payment bug (To Do)

Will you work on any of these today?"

Question 3: Blockers

"Do you have any blockers or impediments?"

Options:
- "No blockers"
- "Yes, I have blockers" → follow-up for details

Question 4: Topics for Discussion

"Any topic you want to bring up at the end of the daily?"

Options:
- "No, nothing to discuss"
- "Yes" → follow-up for details

Examples of topics:
- Technical decision that needs input
- Alignment with another team
- Question about prioritization
- Announcement or info for the team

Phase 3: Generate Update

Combine all information into clean Markdown:

# Daily Update - [DATE]

## Yesterday
- [Items from interview]
- [Items from GitHub/Jira if pulled]

## Today
- [Items from interview]

## Blockers
- [Blockers or "No blockers"]

## PRs & Reviews (if pulled from GitHub)
- [PRs opened]
- [PRs merged]
- [Reviews done]

## Jira (if pulled from Jira)
- [Tickets updated]

## Topics for Discussion
- [Topics or "None"]

---
*Links:*
- [PR links]
- [Ticket links]

Core Principles

  1. Interview is primary — Tools supplement, they don't replace human context
  2. Consent before access — Always ask before pulling from any integration
  3. Context-aware questions — Show pulled data during interview to trigger memory ("I see you merged PR #123...")

Quick Reference

PhaseActionTool
1. Detect & OfferCheck gh/jira/claude history, ask user, pull dataBash (silent), AskUserQuestionTool*
2. InterviewAsk 4 questions with insightsAskUserQuestionTool*
3. GenerateFormat MarkdownOutput text

*Claude Code only: Use AskUserQuestionTool tool for structured questions.

Claude Code Digest Script

# Get yesterday's sessions as JSON
python3 ~/.claude/skills/daily-meeting-update/scripts/claude_digest.py --format json

# Get today's sessions
python3 ~/.claude/skills/daily-meeting-update/scripts/claude_digest.py --date today --format json

# Filter to specific project
python3 ~/.claude/skills/daily-meeting-update/scripts/claude_digest.py --project ~/my-app --format json

Example Session

Claude: "Let's prepare your daily! I detected GitHub configured. Want me to pull your recent activity?"
User: "Yes"

Claude: "Which repos should I check?"
User: "backend-api and frontend-app"

[Claude pulls GitHub data silently]

Claude: "I can also pull your Claude Code session history from yesterday. Want me to check?"
User: "Yes"

[Claude runs digest script, gets 5 sessions]

Claude: "Here are your Claude Code sessions from yesterday. Select the ones relevant to your standup:"
  ☑ Fix authentication timeout bug (backend-api)
  ☑ Implement OAuth flow (backend-api)
  ☐ Update personal blog (blog) - [user unchecks personal project]
  ☑ Research payment providers (docs)
  ☐ Debugging test failures (experiments)

User: [selects 3 relevant items]

Claude: "Here's what I found from your activity:
- Merged PR #120: fix login timeout
- Opened PR #125: feat: add OAuth flow
- Reviewed PR #123 (approved), PR #456 (changes requested)
- 5 commits in backend-api
- [From Claude Code] Fix authentication timeout bug
- [From Claude Code] Implement OAuth flow
- [From Claude Code] Research payment providers

Anything else you worked on yesterday that I missed?"
User: "No, that covers it"

Claude: "What will you work on today?"
User: "Continue the OAuth feature and deploy to staging"

Claude: "Any blockers?"
User: "No"

Claude: "Any topic to bring up at the end of the daily?"
User: "Yes, I want to discuss the architecture of the new payments module"

[Claude generates update]

Output Example

# Daily Update - 2026-01-22

## Yesterday
- Worked on authentication feature
- Research on payment providers
- Merged PR #120 (fix: login timeout)
- Opened PR #125 (feat: add OAuth flow)

## Today
- Continue OAuth feature
- Deploy to staging

## Blockers
- No blockers

## PRs & Reviews
- **Opened:** PR #125 - feat: add OAuth flow
- **Merged:** PR #120 - fix: login timeout
- **Reviews:** PR #123 (approved), PR #456 (changes requested)

## Topics for Discussion
- Architecture of the new payments module

---
*Links:*
- https://github.com/org/repo/pull/125
- https://github.com/org/repo/pull/120

Anti-Patterns

AvoidWhy (Expert Knowledge)Instead
Run gh/jira without askingUsers may have personal repos visible, or be in a sensitive project context they don't want exposedAlways ask first, let user choose repos
Assume current directory is the only projectDevelopers often work on 2-5 repos simultaneously (frontend, backend, infra)Ask "Which projects are you working on?"
Skip interview even with tool dataTools capture WHAT happened but miss WHY and context (research, meetings, planning)Interview is primary, tools supplement
Generate update before all 4 questionsUser might have critical blocker or discussion topic that changes the narrativeComplete interview, then generate
Include raw commit messagesCommit messages are often cryptic ("fix", "wip") and don't tell the storySummarize into human-readable outcomes
Ask for data after interviewShowing insights during interview makes questions smarter ("I see you merged PR #123, anything else?")Pull data first, then interview with context

NEVER

  • NEVER assume tools are configured — Many devs have gh installed but not authenticated, or jira CLI pointing to wrong instance
  • NEVER skip the "Topics for Discussion" question — This is often the most valuable part of standup that tools can't capture
  • NEVER generate more than 15 bullets — Standup should be <2 minutes to read; long updates lose the audience
  • NEVER include ticket/PR numbers without context — "PROJ-123" means nothing; always include title or summary
  • NEVER pull data from repos user didn't explicitly approve — Even if you can see other repos, respect boundaries

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

26.63%
按下载量换算424

OpenCode

21.78%
按下载量换算347

Cursor

19.65%
按下载量换算313

Antigravity

12.17%
按下载量换算194

Gemini CLI

7.83%
按下载量换算125

Codex

3.16%
按下载量换算50

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

未通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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