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Generate a short markdown analytics report answering a specific product question.

Skill by agenkin

IndexedMIT★ 2
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/agenkin-report

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About

Generate a short markdown analytics report answering a specific product question. Pass the question as arguments.

Use cases: documents, data

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/report

What's inside

Skill name
report
Description
Generate a short markdown analytics report answering a specific product question. Pass the question as arguments.
License
MIT
Instructions
40 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: missing

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Report

Write a compact markdown analytics report that answers the user's question in `$ARGUMENTS`. This skill is the high-level wrapper: pick the right sub-query (recipe or raw TQL), run it, and turn the numbers into a narrative.

## Process

1. **Parse the question** in `$ARGUMENTS`. Identify: metric (count vs. users), dimension (if any), window, comparison target.
2. **Pick the command**:
   - DAU/MAU trend → `tdq dau` / `tdq mau`
   - Breakdown by one dimension → `tdq groupby <dim>`
   - Which events fire → `tdq events`
   - Funnel / retention / multi-dim groupby / derived metric → write raw TQL and run via `tdq query -` (consult `skills/analytics/tql/index.md` for syntax).
3. **Run it** — use the Bash tool. Capture the table output.
4. **Write the report** using this structure:

```markdown
## <question restated as a header>

**Top-line:** <one sentence with the key number and window>

**Method:** `<the exact `tdq …` invocation you ran>`

**Result:**
<markdown table — paste the CLI output directly>

**Interpretation:** <1–3 sentences: what the numbers mean, any trend or outlier, compared-to-what>

**Caveats:** Opt-in cohort only (TelemetryDeck samples self-selected users). <add channel skew / partial-period / small-sample notes if applicable>
```

5. **Where to save**: inline in the conversation by default. If the user asks for a file, ask them where to save it; write to the absolute path they give. Suggest `~/Documents/TelemetryDeck/YYYY-MM-DD-<slug>.md`. **Never create new top-level folders in the current working directory.**

## Defaults

- Window: last 30 days unless the question implies otherwise.
- Format: `table` (markdown-ready).
- Always include the opt-in-cohort caveat.
- For "trending" / "growing" / "vs. last period" phrasings, add `--compare prior-period`.

From agenkin/telemetrydeck-analytics, MIT.

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Stars
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Forks
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Last commit (this folder)
Apr 18, 2026 (6 months ago)
Last release
Apr 18, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

report skill. Agent Mart. https://agentmart.dev/skills/agenkin-report (last updated 2026-10-24)