Chalk Labs
Need help deploying enrich-a-list?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
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/datalegion-ai-enrich-a-list
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: spreadsheets, data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/enrich-a-list
What's inside
- Skill name
enrich-a-list- Description
- Enrich a list of people or companies with Data Legion. Use when the user shares contacts, emails, LinkedIn URLs, domains or a spreadsheet and wants titles, employers, contact details or firmographics filled in.
- License
- MIT
- Instructions
- 10 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
To enrich a list: 1. Work out whether each row is a person or a company. People need at least one of email, phone, LinkedIn or other social URL, or a name plus context (company, location, school, job title). Companies need a domain, name, LinkedIn URL or ticker. 2. If inputs look messy (mixed-case emails, phone formatting, URLs with tracking parameters), run `utility_clean` or `utility_validate` first. Both are free and raise match rates. 3. Call `person_enrich` or `company_enrich` once per row. Pass only the fields the user needs with `include_fields` (for example `full_name,job_title,company_name,work_email`) so results stay short. 4. Use `min_confidence: "high"` when the user needs precision over coverage, and `required_fields` when a row is only useful with a given field (for example `work_email` or `phones.type:mobile`). 5. Each successful match uses a credit. Before enriching more than about 25 rows, tell the user the row count and ask them to confirm. 6. Return a table with one row per input, the fields requested, and a column for rows that didn't match. Don't paste raw JSON.
From datalegion-ai/datalegion-plugin, MIT.
More from datalegion-ai/datalegion-plugin
- 0.559score
find-people
datalegion-ai
Find people or companies that match criteria with Data Legion search.
SkillAFreshness: AClaude Code +9 - 0.559score
report-a-data-issue
datalegion-ai
Report a wrong or outdated Data Legion record.
SkillAFreshness: AClaude Code +9 - 0.559score
research-a-company
datalegion-ai
Research a company with Data Legion.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 1, 2026 (29 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from datalegion-ai
- 0.559score
find-people
datalegion-ai
Find people or companies that match criteria with Data Legion search.
SkillAFreshness: AClaude Code +9 - 0.559score
report-a-data-issue
datalegion-ai
Report a wrong or outdated Data Legion record.
SkillAFreshness: AClaude Code +9 - 0.559score
research-a-company
datalegion-ai
Research a company with Data Legion.
SkillAFreshness: AClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get enrich-a-list running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
enrich-a-list skill. Agent Mart. https://agentmart.dev/skills/datalegion-ai-enrich-a-list (last updated 2026-10-24)