Agent skill

Find Me Leads

by gethouston in gethouston/houston

Surface fresh leads in a segment from a source you pick: your CRM closed-won lookalikes, a LinkedIn comment thread, a recent-funding feed, a Google Maps search, or a subreddit.

MITAuto-check passedSales & Support

Install Find Me Leads

skills CLI
$ npx skills add gethouston/houston --skill find-me-leads -a claude-code

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

GitHub CLI
$ gh skill install gethouston/houston find-me-leads --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/gethouston/houston.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/sales/.agents/skills/find-me-leads .claude/skills/find-me-leads && 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
find-me-leads
GitHub stars
118
Token cost
~1.3k tokens
SKILL.md length
600 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
MIT

At a glance

Surface fresh leads in a segment from a source you pick: your CRM closed-won lookalikes, a LinkedIn comment thread, a recent-funding feed, a Google Maps search, or a subreddit.

  • Works in 8 steps: Read ledger + playbook. Gather missing… → Pick source. Based on segment + user… → Pull candidates. Via composio search per… → …
  • Signal that surfaced them
  • SKILL.md covers When to use, Connections I need, Information I need and Steps, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Find Me Leads is an agent skill from gethouston/houston. Surface fresh leads in a segment from a source you pick: your CRM closed-won lookalikes, a LinkedIn comment thread, a recent-funding feed, a Google Maps search, or a subreddit. I quick-score each against your playbook's hard disqualifiers and only keep GREEN and YELLOW. Every row cites the trigger signal that surfaced them.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support. It works with LinkedIn, Reddit and Google Maps Platform. The repository describes itself as: Open source platform for AI-native products. Pre-built AI agents with real tools and 1000+ integrations, in a Rust engine + Tauri desktop app. Free forever. The licence is MIT.

When your agent uses it

  • Signal that surfaced them

Example prompts

  • “/find-me-leads”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Read ledger + playbook. Gather missing required fields
  2. Pick source. Based on segment + user intent, ask
  3. Pull candidates. Via composio search per picked
  4. Per-candidate quick-score - apply playbook's hard
  5. Write batch file to `leads/batches/{segment-slug}-{YYYY-
  6. Append to leads.json. Per surviving candidate, append
  7. Append to outputs.json
  8. Summarize to user. Top 3 leads inline + full file

What it can do on your machine

Read from SKILL.md and the folder at commit e0fd637. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    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 json).

    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

Find Me Leads loads about 1.3k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 600 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
~1.3k

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 passed

The automated check found no risky patterns in SKILL.md.

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 gethouston/houston at commit e0fd637, republished under its MIT licence (© gethouston). 600 words, ~1,320 tokens.

Download SKILL.mdSave it as .claude/skills/find-me-leads/SKILL.md (or your agent's skills folder).
name
find-me-leads
description
Surface fresh leads in a segment from a source you pick: your CRM closed-won lookalikes, a LinkedIn comment thread, a recent-funding feed, a Google Maps search, or a subreddit. I quick-score each against your playbook's hard disqualifiers and only keep GREEN and YELLOW. Every row cites the trigger signal that surfaced them.
version
1
category
Sales
featured
yes
image
handshake
integrations
hubspot, salesforce, attio, linkedin, twitter, reddit, firecrawl
x_houston.created_by
houston
x_houston.skill_schema
1

Find Me Leads

Surface net-new leads in segment.

When to use

  • "find me {N} leads in {segment}".
  • "surface leads I can reach out to this week".
  • "compile leads from {LinkedIn post / subreddit / event}".
  • Scheduled: weekly prospecting routine.

Connections I need

I run external work through Composio. Before this skill runs I check that the categories below are linked. Missing → I name the category, ask you to connect it from the Integrations tab, stop.

  • CRM - expand from lookalikes of your closed-won accounts. Required if you pick that source.
  • Social - pull commenters from a LinkedIn post or thread. Required if you pick that source.
  • Search / research - pull recent-funding or recent-hire signals. Required if you pick that source.
  • Scrape - parse a Google Maps results page or a subreddit. Required if you pick that source.

If none of the source categories are connected I stop and ask you to connect at least one (CRM is the strongest place to start because closed-won lookalikes convert best).

Information I need

I read your sales context first. For every required field that's missing I ask ONE plain-language question (best modality: connected app > file drop > URL > paste) and wait.

  • Your sales playbook - Required. Why I need it: I need your ideal customer profile and disqualifiers to quick-score candidates honestly. If missing I ask: "I don't have your playbook yet - want me to draft it now?"
  • The segment you want leads in - Required. Why I need it: "leads" is too broad to filter against your ideal customer profile. If missing I ask: "Which segment should I pull from - industry, company size, role, geography?"
  • How many leads you want - Required. Why I need it: caps the search and the file. If missing I ask: "How many leads do you want me to surface - 10, 20, 50?"
  • Where to source from - Required. Why I need it: each source uses a different connected tool. If missing I ask: "Should I expand lookalikes from your CRM, pull commenters from a LinkedIn post, scan a recent-funding feed, scrape a Google Maps area, or surface a subreddit thread?"
Show full SKILL.md (286 more words)Show less

Steps

<!-- houston-workflow:v1 -->
  1. Read ledger + playbook. Gather missing required fields (ONE question each, best-modality first). Write atomically.

  2. Pick source. Based on segment + user intent, ask which source (unless named):

    • Connected CRM - expand from lookalike of closed-won.
    • LinkedIn comment thread - paste post URL; compile commenters.
    • Search engine / funding feed - recent-funding or recent-hire signals in segment.
    • Google Maps - local-biz segments.
    • Subreddit / community - recent high-engagement posts.
  3. Pull candidates. Via composio search <category> per picked source. Cap ~3× requested count for filtering.

  4. Per-candidate quick-score - apply playbook's hard disqualifiers. Drop RED. Per surviving candidate, capture:

    • Company + LinkedIn / website URL.
    • Primary contact name + title + LinkedIn (if available).
    • Trigger signal that surfaced them (hiring post, Series B, commented on X thread, 4.8-star review - cite specifically).
    • Quick fit: GREEN / YELLOW (skip RED - dropped).
  5. Write batch file to leads/batches/{segment-slug}-{YYYY- MM-DD}.md (atomic *.tmp → rename) - query, source, date, lead list with trigger signals cited.

  6. Append to leads.json. Per surviving candidate, append new row with status: "new", source (slug of this search), fitScore (GREEN/YELLOW). No duplicates - check existing rows by company + name. Read-merge-write atomic.

  7. Append to outputs.json:

    json
    {
      "id": "<uuid v4>",
      "type": "lead-batch",
      "title": "Leads  -  {segment}",
      "summary": "<N leads surfaced from {source}. Top signal: {signal}.>",
      "path": "leads/batches/{segment-slug}-{date}.md",
      "status": "ready",
      "createdAt": "<ISO>",
      "updatedAt": "<ISO>",
      "domain": "outbound"
    }
  8. Summarize to user. Top 3 leads inline + full file path. Suggest: "research-an-account depth=enrich-contact on #1 next?" or "score-my-pipeline subject=lead-fit in bulk across these?".

What I never do

  • Invent leads, names, titles, trigger signals. Every lead ties to real tool response or URL observation.
  • Contact anyone or push leads into CRM without approval.
  • Hardcode tool names - Composio discovery at runtime only.

Outputs

  • leads/batches/{segment-slug}-{YYYY-MM-DD}.md
  • Appends to leads.json (new rows only).
  • Appends to outputs.json with type: "lead-batch", domain: "outbound".

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

Files

Just SKILL.md in store/agents/sales/.agents/skills/find-me-leads of gethouston/houston.

Open the folder on GitHubat commit e0fd637

Compare with similar skills

Find Me Leads 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.

Find Me Leads compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Find Me Leads this skillgethouston/houston118—~1.3kAutomated safety check: PassMIT
Apify Multi-Platform Scraperapify/agent-skills2.4k2 repos~1.4kAutomated safety check: NotesNone
Octolenssundial-org/awesome-openclaw-skills663—~2.9kAutomated safety check: PassMIT
Agent ReachPanniantong/Agent-Reach95k—~1.4kAutomated safety check: PassMIT
Paid Ads AuditAgriciDaniel/claude-ads9.9k—~1.5kAutomated safety check: PassMIT
Prospectingcoreyhaines31/marketingskills54k—~5kAutomated safety check: PassMIT

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Categories

Questions about Find Me Leads

What does Find Me Leads do?

Surface fresh leads in a segment from a source you pick: your CRM closed-won lookalikes, a LinkedIn comment thread, a recent-funding feed, a Google Maps search, or a subreddit. Find Me Leads is an agent skill from gethouston/houston. Surface fresh leads in a segment from a source you pick: your CRM closed-won lookalikes, a LinkedIn comment thread, a recent-funding feed, a Google Maps search, or a subreddit.

When should I use Find Me Leads?

Find Me Leads fits situations like: signal that surfaced them.

How do I install Find Me Leads in Claude Code?

Run `npx skills add gethouston/houston --skill find-me-leads -a claude-code`. Or copy the skill folder (store/agents/sales/.agents/skills/find-me-leads in gethouston/houston) into .claude/skills/find-me-leads in your project. Claude Code loads it when a task matches its description.

How do I install Find Me Leads in Codex?

Run `npx skills add gethouston/houston --skill find-me-leads -a codex`. Or copy the skill folder (store/agents/sales/.agents/skills/find-me-leads in gethouston/houston) into .agents/skills/find-me-leads in your project. Codex loads it when a task matches its description.

Can I use Find Me Leads 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 gethouston/houston --skill find-me-leads -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/find-me-leads, .gemini/skills/find-me-leads, .github/skills/find-me-leads and .opencode/skills/find-me-leads in your project.

What does Find Me Leads need to run?

SKILL.md names no scripts, command-line tools or credentials: Find Me Leads is instructions for the agent only.

Does Find Me Leads 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 Find Me Leads safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Find Me Leads use?

Find Me Leads is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Find Me Leads use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 Find Me Leads?

Skills that share tags, products or a category with Find Me Leads: Apify Multi-Platform Scraper (apify/agent-skills, 2.4k stars), Octolens (sundial-org/awesome-openclaw-skills, 663 stars), Agent Reach (Panniantong/Agent-Reach, 95k stars) and Paid Ads Audit (AgriciDaniel/claude-ads, 9.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Find Me Leads?

gethouston (a GitHub organization) maintains it in gethouston/houston, which has 118 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 11, 2026.

Source: gethouston/houston on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.