Analytics reconnaissance — scan existing event tracking, metric definitions, dashboards, and analytics configuration to understand what is currently being measured.

MITAuto-check: notesProduct & Project Management

Install Lumen Recon

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen-recon -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace lumen-recon --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/lumen-recon .claude/skills/lumen-recon && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
lumen-recon
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
250 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Analytics reconnaissance — scan existing event tracking, metric definitions, dashboards, and analytics configuration to understand what is currently being measured.

  • Works in 6 steps: Detect Environment → Inventory Analytics Stack → Inventory Events Being Tracked → …
  • Asked to what are we tracking
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lumen Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analytics reconnaissance — scan existing event tracking, metric definitions, dashboards, and analytics configuration to understand what is currently being measured. Use when asked to "what are we tracking", "audit our analytics", "what metrics exist", "analytics inventory", or before designing new metrics or instrumentation.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

It sits in Product & Project Management, covering Product metrics and Product analytics. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to what are we tracking
  • Audit our analytics
  • What metrics exist
  • Analytics inventory

Example prompts

  • “what are we tracking”
  • “audit our analytics”
  • “what metrics exist”
  • “/lumen-recon”

Requirements

  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Detect Environment
  2. Inventory Analytics Stack
  3. Inventory Events Being Tracked
  4. Inventory Metric Definitions
  5. Assess Analytics Health
  6. Present Assessment

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lumen Recon loads about 1.1k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 250 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 250 words, ~1,057 tokens.

Download SKILL.mdSave it as .claude/skills/lumen-recon/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
lumen-recon
description
Analytics reconnaissance — scan existing event tracking, metric definitions, dashboards, and analytics configuration to understand what is currently being measured. Use when asked to "what are we tracking", "audit our analytics", "what metrics exist", "analytics inventory", or before designing new metrics or instrumentation.
allowed-tools
Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

Analytics Reconnaissance

You are Lumen — the product analyst on the Product Team. Map what is being measured before designing new metrics.

Steps

Step 0: Detect Environment

Scan for analytics and tracking indicators:

bash
# Analytics libraries
find . -name "package.json" | xargs grep -l "posthog\|mixpanel\|segment\|amplitude\|heap\|analytics\|gtag\|ga4" 2>/dev/null | head -5
find . -name "requirements*.txt" -o -name "pyproject.toml" | xargs grep -l "posthog\|mixpanel\|segment\|amplitude" 2>/dev/null | head -5

# Tracking calls
find . -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.py" 2>/dev/null | xargs grep -l "track\|identify\|capture\|logEvent\|analytics\." 2>/dev/null | head -20

# Analytics docs
find . -name "*.md" | xargs grep -l "metrics\|funnel\|retention\|event\|dashboard\|OKR\|north star" 2>/dev/null | head -10
Step 1: Inventory Analytics Stack

Identify:

  • Analytics platform — PostHog, Mixpanel, Amplitude, Segment, GA4, custom, or none
  • Backend tracking — server-side events sent (Python/Node/Go SDKs)
  • Frontend tracking — client-side events (JS/TS SDKs, autocapture)
  • Data warehouse — BigQuery, Snowflake, Redshift, or none
  • BI tool — Metabase, Looker, Grafana, Superset, or none
Step 2: Inventory Events Being Tracked

Read tracking code and list:

Event NameWhere FiredPropertiesNotes
[event][page/service][props][any gaps]

Note: missing events for key user actions (sign up, activation, first value, churn signals).

Step 3: Inventory Metric Definitions

Look for:

  • North Star metric — single metric representing core value delivery
  • Input metrics — leading indicators driving North Star
  • OKR key results — specific, measurable targets for this period
  • Dashboard definitions — what's on main product dashboard

Flag metrics defined but not instrumented, or instrumented but not displayed.

Step 4: Assess Analytics Health
DimensionStatusNote
North Star defined[✓/✗/~]
Activation event tracked[✓/✗/~]
Retention tracked (D7/D30)[✓/✗/~]
Funnel steps instrumented[✓/✗/~]
User identity stitched[✓/✗/~]
Revenue events tracked[✓/✗/~]
Step 5: Present Assessment

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

## Analytics Reconnaissance

**Platform:** [tool] | **Backend tracking:** [✓/✗] | **Frontend tracking:** [✓/✗]
**Total events tracked:** [N or unknown] | **North Star:** [metric or UNDEFINED]

### Events Inventory
| Lifecycle Stage | Events | Gap |
|----------------|--------|-----|
| Acquisition    | [N]    | [gap or none] |
| Activation     | [N]    | [gap or none] |
| Retention      | [N]    | [gap or none] |
| Revenue        | [N]    | [gap or none] |
| Referral       | [N]    | [gap or none] |

### Metric Definitions
- **Defined and tracked:** [list]
- **Defined but not tracked:** [list]
- **Not defined:** [key metrics that should exist]

### Critical Gaps
- [RED] [missing event that blocks product understanding]
- [YELLOW] [incomplete tracking or inconsistent naming]

### Recommended Next Step
[Which instrumentation gap to close first]

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/lumen-recon of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit cfae287

Compare with similar skills

Lumen Recon next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Lumen Recon compared with similar skills
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Feature Analytics Instrumentation Plannermistralai/mistral-vibe5.1k—~2.2kAutomated safety check: PassApache-2.0
Data And Funnel Analyticsmanojbajaj95/claude-gtm-plugin105—~2.9kAutomated safety check: PassMIT
Analytics Strategyrampstackco/claude-skills945—~2.4kAutomated safety check: PassMIT
Amplitude Custom Agent Builderamplitude/builder-skills159—~2.5kAutomated safety check: PassNone

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Questions about Lumen Recon

What does Lumen Recon do?

Analytics reconnaissance — scan existing event tracking, metric definitions, dashboards, and analytics configuration to understand what is currently being measured. Lumen Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analytics reconnaissance — scan existing event tracking, metric definitions, dashboards, and analytics configuration to understand what is currently being measured.

When should I use Lumen Recon?

Lumen Recon fits situations like: asked to what are we tracking; audit our analytics; what metrics exist; analytics inventory.

How do I install Lumen Recon in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen-recon -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/lumen-recon in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/lumen-recon in your project. Claude Code loads it when a task matches its description.

How do I install Lumen Recon in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen-recon -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/lumen-recon in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/lumen-recon in your project. Codex loads it when a task matches its description.

Can I use Lumen Recon in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lumen-recon -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lumen-recon, .gemini/skills/lumen-recon, .github/skills/lumen-recon and .opencode/skills/lumen-recon in your project.

What does Lumen Recon need to run?

SKILL.md names no scripts, command-line tools or credentials: Lumen Recon is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion.

Does Lumen Recon access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lumen Recon safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Lumen Recon use?

Lumen Recon is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lumen Recon use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lumen Recon?

Skills that share tags, products or a category with Lumen Recon: Product Metrics Dashboard Design (phuryn/pm-skills, 27k stars), Feature Analytics Instrumentation Planner (mistralai/mistral-vibe, 5.1k stars), Data And Funnel Analytics (manojbajaj95/claude-gtm-plugin, 105 stars) and Analytics Strategy (rampstackco/claude-skills, 945 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lumen Recon?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.