Analyzing Data
astronomer/agents
Queries the data warehouse with SQL and answers business questions about data.
Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map.
Install Lens Recon
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-recon -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lens-recon --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/lens-recon .claude/skills/lens-recon && rm -rf skills-srcUse ~/.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/
Install the "lens-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/lens-recon into .claude/skills/lens-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lens-recon", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/lens-reconType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-recon -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lens-recon --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/lens-recon .agents/skills/lens-recon && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lens-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/lens-recon into .agents/skills/lens-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lens-recon", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-recon -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lens-recon --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/lens-recon .cursor/skills/lens-recon && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lens-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/lens-recon into .cursor/skills/lens-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lens-recon", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path plugins/ai-agency/tonone/skills/lens-recon--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-recon -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lens-recon --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/lens-recon .gemini/skills/lens-recon && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lens-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/lens-recon into .gemini/skills/lens-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lens-recon", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lens-reconInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-recon -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/lens-recon .github/skills/lens-recon && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lens-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/lens-recon into .github/skills/lens-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lens-recon", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-recon -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lens-recon --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/lens-recon .opencode/skills/lens-recon && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lens-recon" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/lens-recon into .opencode/skills/lens-recon/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lens-recon", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lens-recon- GitHub stars
- 2.8k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 359 words
- Files
- 2
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map.
- Works in 5 steps: Detect Environment → Inventory What's Tracked → Inventory What's Dashboarded → …
- Asked what analytics exist
- SKILL.md covers Steps and Delivery
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Lens Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Use when asked "what analytics exist", "BI assessment", or "what do we track".
Its SKILL.md is about 1.2k 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 Databases, covering Product metrics and Data warehousing. It works with SQL. 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 what analytics exist
- What do we track
Example prompts
- “what analytics exist”
- “BI assessment”
- “what do we track”
- “/lens-recon”
Requirements
- Docker
- Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
Workflow steps
5 steps, taken from the step headings in SKILL.md.
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:
ReadBashGlobGrepWebFetchWebSearchAskUserQuestion
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
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
Lens Recon loads about 1.2k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 359 words of instructions outside code blocks.
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). 359 words, ~1,176 tokens.
Download SKILL.mdSave it as
.claude/skills/lens-recon/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- lens-recon
- description
- Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Use when asked "what analytics exist", "BI assessment", or "what do we track".
- 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 Lens — the data analytics and BI engineer from the Engineering Team. Map analytics landscape before building anything new.
Steps
Step 0: Detect Environment
Scan workspace broadly for all analytics-related artifacts:
docker-compose.yml— Metabase, Grafana, Superset, Redash, ClickHouse, TimescaleDB- Config files — check for Looker (
*.lkml), dbt (dbt_project.yml), Evidence (evidence.config.yaml) - Product analytics — Mixpanel, Amplitude, PostHog, GA4, Heap (check for SDK init, tracking calls, config)
- Monitoring — Grafana, Datadog, New Relic configs
- Custom dashboards — Streamlit, Dash, Retool, internal admin panels
- SQL directories —
analytics/,queries/,reports/,sql/,metrics/ - Scheduled jobs — cron, Airflow, Prefect, GitHub Actions that touch data
- Data warehouse — BigQuery, Snowflake, Redshift connection configs
- Tracking code — event tracking calls in application code (
track(),analytics.identify(),gtag())
Step 1: Inventory What's Tracked
Document all data collection:
- Events tracked — what user actions are captured (page views, clicks, signups, purchases)
- Properties captured — what metadata is attached to events
- Server-side tracking — API logs, database events, webhook data
- Third-party data — payment provider data, email service data, ad platform data
- Infrastructure metrics — CPU, memory, request latency, error rates
Step 2: Inventory What's Dashboarded
Document all visualization and reporting:
- Dashboards — what exists, in what tool, who built it, when last updated
- Scheduled reports — what goes out, to whom, how often
- Alerts — what triggers notifications, who receives them, what thresholds
- Ad hoc queries — saved queries in BI tools or SQL files
Show full SKILL.md (138 more words)Show less
Step 3: Assess Quality
For each analytics artifact, evaluate:
- Are metrics defined? — precise definitions, or ambiguous labels?
- Is data fresh? — are pipelines running, is data up to date?
- Are dashboards maintained? — last modified date, does it reflect current product?
- Is there automation? — scheduled refreshes, alerts, or manual pull?
- Who has access? — is analytics self-serve or gated behind one person?
Step 4: Present Coverage Map
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
## Analytics Reconnaissance
### Tools in Use
| Tool | Purpose | Status |
|------|---------|--------|
| [Metabase/Grafana/etc] | [what it's used for] | [active/stale/unused] |
| ... | ... | ... |
### Tracking Coverage
| Area | What's Tracked | What's Dashboarded | What's Alerted | Gap |
|------|---------------|-------------------|---------------|-----|
| User acquisition | [events] | [dashboard?] | [alert?] | [gap?] |
| User activation | [events] | [dashboard?] | [alert?] | [gap?] |
| Engagement | [events] | [dashboard?] | [alert?] | [gap?] |
| Revenue | [events] | [dashboard?] | [alert?] | [gap?] |
| Infrastructure | [metrics] | [dashboard?] | [alert?] | [gap?] |
### Data Infrastructure
- **Warehouse:** [BigQuery/Snowflake/Postgres/none]
- **Transformation:** [dbt/custom SQL/none]
- **Orchestration:** [Airflow/cron/none]
- **Freshness:** [real-time/hourly/daily/unknown]
### Assessment
- **Defined metrics:** [N] out of [N] dashboard metrics have precise definitions
- **Data freshness:** [status — pipelines healthy or broken]
- **Self-serve:** [yes/no — can stakeholders query without engineering help]
- **Automation:** [N] scheduled reports, [N] alerts configured
### Key Gaps
1. [most critical gap — what's not tracked or dashboarded that should be]
2. [second gap]
3. [third gap]
### What's Working
- [positive observation — well-maintained dashboard, good tracking coverage]Present facts. Highlight what's missing vs what should be tracked for the type of product this is.
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/lens-recon of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- .claude-plugin/plugin.json
Open the folder on GitHubat commit cfae287
Compare with similar skills
Lens 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lens Recon this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.2k | Automated safety check: Notes | MIT | |
| Analyzing Dataastronomer/agents | 451 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Databricks Dbsqldatabricks/databricks-agent-skills | 345 | 1 repos | ~2.8k | Automated safety check: Pass | Custom licence | |
| DatajunctionDataJunction/dj | 162 | — | ~2k | Automated safety check: Pass | MIT | |
| SQL Prodavila7/claude-code-templates | 33k | 9 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Expensive Snowflake Query FinderAltimateAI/data-engineering-skills | 128 | — | ~662 | Automated safety check: Pass | MIT |
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Datajunction
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Activate this skill whenever working with DataJunction (DJ) semantic layer.
SQL Pro
davila7/claude-code-templates
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques.
Expensive Snowflake Query Finder
AltimateAI/data-engineering-skills
Ranks the costliest, slowest or heaviest-scanning Snowflake queries from query history and suggests how to optimize them.
- Official
dbt Snowflake to BigQuery Translator
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Translates Snowflake dbt SQL models into standardized BigQuery SQL, keeping Jinja constructs and tracking progress in a migration tasks file.
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Questions about Lens Recon
What does Lens Recon do?
Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map. Lens Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analytics reconnaissance for takeover — find all analytics tools, inventory what's tracked and dashboarded, assess data freshness and metric definitions, and present a coverage map.
When should I use Lens Recon?
Lens Recon fits situations like: asked what analytics exist; what do we track.
How do I install Lens Recon in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-recon -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/lens-recon in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/lens-recon in your project. Claude Code loads it when a task matches its description.
How do I install Lens Recon in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lens-recon -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/lens-recon in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/lens-recon in your project. Codex loads it when a task matches its description.
Can I use Lens 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 lens-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/lens-recon, .gemini/skills/lens-recon, .github/skills/lens-recon and .opencode/skills/lens-recon in your project.
What does Lens Recon need to run?
SKILL.md names no scripts, command-line tools or credentials: Lens Recon is instructions for the agent only. Our summary lists: Docker. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion.
Does Lens 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 Lens 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 Lens Recon use?
Lens 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 Lens Recon use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Lens Recon?
Skills that share tags, products or a category with Lens Recon: Analyzing Data (astronomer/agents, 451 stars), Databricks Dbsql (databricks/databricks-agent-skills, 345 stars), Datajunction (DataJunction/dj, 162 stars) and SQL Pro (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lens 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.