p-daily-report

Installation
SKILL.md

Daily Report Generator

Setup

Locate this skill's directory (the folder containing this SKILL.md), then run the resolver script from there:

python <skill-dir>/scripts/skillctx-resolve.py resolve p-daily-report

The resolver outputs each binding as key: value (one per line). Substitute each {binding_key} placeholder below with the resolved value.

If any values are missing or the user requests changes, use:

python <skill-dir>/scripts/skillctx-resolve.py set p-daily-report <key> <value>

Generate activity reports from Claude Code conversation history, GitHub activity, and Slack messages.

IMPORTANT output rule: The generated report file must never mention "Claude", "Claude Code", "sessions", "history.jsonl", or any implementation details about how the data was gathered. The report should read as a clean, source-agnostic activity log. This rule applies only to the written output — these skill instructions may freely reference Claude internals.

When to Use

  • End of day/week summaries
  • Standup prep
  • Status updates for stakeholders
  • Tracking accomplishments across projects

Options

  • --days N or number: Last N days (default: today)
  • --yesterday: Yesterday only
  • --project NAME: Filter by project
  • --summary: Add project summary table

Date Range Reference

Determine {date} and {next_date} from options. Get today's date with date +%Y-%m-%d.

Option {date} {next_date}
default (today) today tomorrow
--yesterday yesterday today
--days N N days ago tomorrow

Steps

Parallel Initialization

Before gathering data, check tool availability concurrently (parallelize if possible):

# Run all three concurrently
gh api /user --jq '.login'      # confirms gh is authenticated; capture as gh_user
gws calendar +agenda --today    # confirms gws is available (or note unavailable)
slack_read_user_profile          # confirms Slack MCP is connected (or note unavailable)

Use results to skip unavailable data sources in subsequent steps.

Aggregate Claude Activity

Location: {claude_history_path}

If this file doesn't exist or is empty, skip this step and proceed to GitHub activity.

Format: JSONL with fields:

  • timestamp: Unix milliseconds → convert to local date
  • project: Full path → extract last segment as name
  • display: User's message
  • sessionId: Groups related work

Reading Entries

  1. Get line count: wc -l {claude_history_path}
  2. Read a generous buffer: offset=(lines - 3000) to cover ~2 weeks of activity
  3. Filter entries by timestamp — convert timestamp (Unix ms) to local date, compare against target date range, discard entries outside the range

Extract GitHub Repos from Project Paths

Project paths using ghq convention contain the owner/repo:

/Users/*/ghq/github.com/{owner}/{repo} → {owner}/{repo}

Extract with pattern: match github.com/ then take the next two path segments.

  • Build a map of owner/repo → project display name
  • Non-GitHub project paths (e.g., ~/notes/project-x) have no repo — keep them for the report as local projects, skip them for GitHub queries

Filter Noise

Remove:

  • Slash commands (/clear, /model, etc.)
  • Single responses: "yes", "no", "1", "2", "a", "b"
  • Empty/duplicate entries

Summarize by Session

Group same-sessionId entries into meaningful summaries:

Raw Messages Summary
"fix lint", "yes", "run tests" Working on linting and tests
"implement X", "yes", "continue" Implementing X feature
"investigate bug", "this error..." Debugging issues

Categorize

Tag with: feat, fix, refactor, docs, test, ci, plan


Steps 2, 3, and 4 are independent data sources. Dispatch all three concurrently (parallelize if possible). Proceed to Output only after all three complete.


Get GitHub Activity (parallelize if possible)

→ See references/agent-gather-github-report.md

If gh is not installed or not authenticated, skip this step and note in the report.

Get Google Calendar (parallelize if possible)

→ See references/agent-gather-calendar-report.md

If gws is not installed, skip this step and omit the Calendar section from the report.

Get Slack Activity (parallelize if possible)

→ See references/agent-gather-slack-report.md

If the Slack MCP server is not connected, skip this step and omit the Slack section from the report.


SYNC: Proceed to Output only after all data gathering steps complete.

Deduplicate: Before formatting, deduplicate across sources — the same PR may appear in both GitHub API results and Slack messages. Use PR URLs as primary keys to merge overlapping records.


Output Format

---
date: YYYY-MM-DD
type: daily-report
---
# Daily Activity Report YYYY-MM-DD

## Calendar

- 14:30 Design review
- 16:00 1:1 with manager

## owner/repo-name

Implemented user authentication and fixed pagination bug. Added logout button
and improved empty state handling.

- PR #12 Add status line styles [merged]
- Review #45 Cleanup implementation [APPROVED]

## notebook

Worked on meeting notes and snippets conversion.

## Slack

- **#eng**: Discussed deployment rollback strategy and shared post-mortem findings
- **#project-x**: Reviewed design mockups and confirmed timeline for v2 launch

## Other Repositories

- Review myorg/repo#5 bump time dep [APPROVED]
- Issue myorg/other-repo#10 Bug report [open]

Per-project format:

  1. Summary (required): 1-3 sentences synthesized from all sources (Claude history, commit messages, PR descriptions). Written as prose, no tags or prefixes. Captures what you did, not how the data was gathered.
  2. PRs and reviews (optional): Listed below the summary only when they exist. No subheader — just the items. Format: - PR #N title [state] or - Review owner/repo#N title [STATE].
  3. If a project has no PRs or reviews, it's summary-only.

Other rules:

  • Non-GitHub projects from Claude history use their directory name as the section header (e.g., "notebook").
  • Items from GitHub that don't match any known project go under "Other Repositories".
  • Omit any section that has no activity.
  • No [tag] prefixes, no commit hashes, no "N commits pushed".

Output Path

  1. Create date directory: mkdir -p {notebook_daily_dir}/YYYY-MM-DD/
  2. Write report file: {notebook_daily_dir}/YYYY-MM-DD/report.md
    • For multi-day reports: {notebook_daily_dir}/YYYY-MM-DD/report-N-days.md
  3. Summarize: After writing, tell the user the file path and give a brief overview of what was captured.

Summary Table (with --summary)

| Project | Days Active | Activities | PRs | Reviews | Top Focus |
| ------- | ----------- | ---------- | --- | ------- | --------- |
| my-proj | 5           | 45         | 3   | 2       | feat, fix |
Related skills
Installs
1
GitHub Stars
14
First Seen
Apr 15, 2026