Prospecting
coreyhaines31/marketingskills
When the user wants to find, qualify, and build a list of prospects to reach out to, across B2B SaaS, general B2B, or local small businesses.
End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign.
Install Outbound Prospecting Engine
$ npx skills add gooseworks-ai/goose-skills --skill outbound-prospecting-engine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills outbound-prospecting-engine --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/outreach/playbooks/outbound-prospecting-engine .claude/skills/outbound-prospecting-engine && 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 "outbound-prospecting-engine" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/playbooks/outbound-prospecting-engine into .claude/skills/outbound-prospecting-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outbound-prospecting-engine", 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/gooseworks-ai/goose-skills/tree/main/skills/outreach/playbooks/outbound-prospecting-engineType 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 gooseworks-ai/goose-skills --skill outbound-prospecting-engine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills outbound-prospecting-engine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/outreach/playbooks/outbound-prospecting-engine .agents/skills/outbound-prospecting-engine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "outbound-prospecting-engine" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/playbooks/outbound-prospecting-engine into .agents/skills/outbound-prospecting-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outbound-prospecting-engine", 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 gooseworks-ai/goose-skills --skill outbound-prospecting-engine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills outbound-prospecting-engine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/outreach/playbooks/outbound-prospecting-engine .cursor/skills/outbound-prospecting-engine && 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 "outbound-prospecting-engine" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/playbooks/outbound-prospecting-engine into .cursor/skills/outbound-prospecting-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outbound-prospecting-engine", 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/gooseworks-ai/goose-skills.git --path skills/outreach/playbooks/outbound-prospecting-engine--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 gooseworks-ai/goose-skills --skill outbound-prospecting-engine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills outbound-prospecting-engine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/outreach/playbooks/outbound-prospecting-engine .gemini/skills/outbound-prospecting-engine && 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 "outbound-prospecting-engine" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/playbooks/outbound-prospecting-engine into .gemini/skills/outbound-prospecting-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outbound-prospecting-engine", 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 gooseworks-ai/goose-skills outbound-prospecting-engineInstalls 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 gooseworks-ai/goose-skills --skill outbound-prospecting-engine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/outreach/playbooks/outbound-prospecting-engine .github/skills/outbound-prospecting-engine && 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 "outbound-prospecting-engine" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/playbooks/outbound-prospecting-engine into .github/skills/outbound-prospecting-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outbound-prospecting-engine", 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 gooseworks-ai/goose-skills --skill outbound-prospecting-engine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills outbound-prospecting-engine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/outreach/playbooks/outbound-prospecting-engine .opencode/skills/outbound-prospecting-engine && 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 "outbound-prospecting-engine" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/outreach/playbooks/outbound-prospecting-engine into .opencode/skills/outbound-prospecting-engine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "outbound-prospecting-engine", 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
outbound-prospecting-engine- GitHub stars
- 1.2k
- Used in
- 1 other repo
- Token cost
- ~837 tokens
- SKILL.md length
- 382 words
- Files
- 2
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign.
- Works in 8 steps: Define Signal Sources → Run Signal Detection → Qualify & Score → …
- Tasks that involve Cold outreach
- SKILL.md covers When to Use, Prerequisites, Steps and Ongoing Cadence, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Outbound Prospecting Engine is an agent skill from gooseworks-ai/goose-skills. End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign.
Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).
It sits in Sales & Support, covering Cold outreach. It works with LinkedIn. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- Tasks that involve Cold outreach
Example prompts
- “/outbound-prospecting-engine”
Workflow steps
8 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 c650c6d. 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.
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
Outbound Prospecting Engine loads about 837 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 382 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 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 gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 382 words, ~837 tokens.
Download SKILL.mdSave it as
.claude/skills/outbound-prospecting-engine/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- outbound-prospecting-engine
- description
- End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign.
- type
- playbook
Outbound Prospecting Engine
Build and run a complete outbound prospecting system: signal detection → company research → contact finding → personalization → campaign launch.
When to Use
- "Set up outbound prospecting for [client]"
- "Build a lead gen engine targeting [ICP]"
- "Find and reach out to companies that need [solution]"
Prerequisites
- Client context.md with ICP, value props, positioning
- Signal keywords (what to monitor for intent)
- Approved messaging / email sequences (or generate them)
Steps
1. Define Signal Sources
Based on the client's ICP and motion, select which signals to monitor:
| Signal Source | Best For | Skill |
|---|---|---|
| Job postings | Companies with allocated budget | job-posting-intent |
| Funding announcements | Companies with fresh capital | funding-signal-monitor |
| LinkedIn posts/comments | Practitioners discussing the problem | linkedin-post-research + linkedin-commenter-extractor |
| Conference attendees | People actively engaged with the space | luma-event-attendees |
| Competitor customers | Companies already buying similar solutions | competitor-post-engagers |
2. Run Signal Detection
Execute selected signal skills with client-specific keywords. Run in parallel.
Output: Raw signal list — companies + signal context.
3. Qualify & Score
Skill: lead-qualification
Filter against ICP criteria. Score each lead:
- Multi-signal leads = highest priority
- Job posting + funding = strongest intent
- Single social mention = lowest (awareness only)
4. Find Decision-Maker Contacts
Skill: company-contact-finder
For top qualified companies, find the specific decision-makers:
- Target titles from client's ICP
- Get email addresses and LinkedIn URLs
5. Deduplicate
Skill: contact-cache
Check all leads against the contact cache. Add new leads to cache. Skip any that have been contacted before.
Show full SKILL.md (158 more words)Show less
6. Personalize Outreach
For each lead, generate personalized email sequence using:
- The signal that surfaced them (the "why now")
- Their company context (what they do, their pain)
- The client's value proposition (how it solves their pain)
7. Launch Campaign
Skill: cold-email-outreach
Set up the outreach campaign in your chosen tool:
- Create campaign with name and schedule
- Upload lead list
- Configure 2-3 email sequence (personalized per lead or per segment)
- Allocate mailboxes
- Set sending schedule
8. Monitor & Iterate
- Track open rates, reply rates, meeting bookings
- A/B test subject lines and messaging
- Re-run signal detection weekly to add new leads
- Update contact cache with outcomes
Ongoing Cadence
- Weekly: Re-run signal detection, qualify new leads, add to campaign
- Bi-weekly: Review campaign metrics, adjust messaging
- Monthly: Review overall pipeline contribution, adjust signal sources
Human Checkpoints
- After Step 3: Review qualified lead list before finding contacts
- After Step 6: Review personalized email copy before launching campaign
- After Step 8: Review campaign performance metrics
© gooseworks-ai, 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 skills/outreach/playbooks/outbound-prospecting-engine of gooseworks-ai/goose-skills.
- SKILL.md
- skill.meta.json
Open the folder on GitHubat commit c650c6d
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Outbound Prospecting Engine 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 |
|---|---|---|---|---|---|---|
| Outbound Prospecting Engine this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~837 | Automated safety check: Pass | MIT | |
| Prospectingcoreyhaines31/marketingskills | 54k | — | ~5k | Automated safety check: Pass | MIT | |
| Sales OsromangojiberryAI/gojiberryai-sales-os | 139 | — | ~2k | Automated safety check: Pass | MIT | |
| Cold Outreach Personalizeraiskilloftheweek/claude-ai-skill-of-the-week | 149 | — | ~2.6k | Automated safety check: Pass | None | |
| B2B Lead Generationminhnv0807/ai-business-skills | 609 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Cold Emailcoreyhaines31/marketingskills | 54k | — | ~3.1k | Automated safety check: Pass | MIT |
Similar skills
Sales Os
romangojiberryAI/gojiberryai-sales-os
A complete outbound sales department in one skill. An agent skill from romangojiberryAI/gojiberryai-sales-os.
Cold Outreach Personalizer
aiskilloftheweek/claude-ai-skill-of-the-week
Generates hyper-personalized cold outreach messages (email, LinkedIn DM, connection request) from raw prospect research.
B2B Lead Generation
minhnv0807/ai-business-skills
Plans B2B pipeline work from ICP definition and prospecting through lead scoring, outbound sequences, sales assets and MQL to SQL handoff, aiming at qualified pipeline.
Cold Email
coreyhaines31/marketingskills
Write and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling.
Cold Outreach Sequence Builder
BrianRWagner/ai-marketing-claude-code-skills
Builds researched LinkedIn and email outreach for prospects, from a single message to a multi-prospect system, with personalization graded by the signals found.
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Related
Works with
Categories
Questions about Outbound Prospecting Engine
What does Outbound Prospecting Engine do?
End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign. Outbound Prospecting Engine is an agent skill from gooseworks-ai/goose-skills. End-to-end outbound prospecting: detect intent signals, research companies, find decision-maker contacts, personalize messaging, launch campaign.
When should I use Outbound Prospecting Engine?
Outbound Prospecting Engine fits situations like: tasks that involve Cold outreach.
How do I install Outbound Prospecting Engine in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill outbound-prospecting-engine -a claude-code`. Or copy the skill folder (skills/outreach/playbooks/outbound-prospecting-engine in gooseworks-ai/goose-skills) into .claude/skills/outbound-prospecting-engine in your project. Claude Code loads it when a task matches its description.
How do I install Outbound Prospecting Engine in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill outbound-prospecting-engine -a codex`. Or copy the skill folder (skills/outreach/playbooks/outbound-prospecting-engine in gooseworks-ai/goose-skills) into .agents/skills/outbound-prospecting-engine in your project. Codex loads it when a task matches its description.
Can I use Outbound Prospecting Engine 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 gooseworks-ai/goose-skills --skill outbound-prospecting-engine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/outbound-prospecting-engine, .gemini/skills/outbound-prospecting-engine, .github/skills/outbound-prospecting-engine and .opencode/skills/outbound-prospecting-engine in your project.
What does Outbound Prospecting Engine need to run?
SKILL.md names no scripts, command-line tools or credentials: Outbound Prospecting Engine is instructions for the agent only.
Does Outbound Prospecting Engine 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 Outbound Prospecting Engine 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 Outbound Prospecting Engine use?
Outbound Prospecting Engine 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 Outbound Prospecting Engine use?
About 837 tokens (SKILL.md is roughly 3.3k 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 Outbound Prospecting Engine?
Skills that share tags, products or a category with Outbound Prospecting Engine: Prospecting (coreyhaines31/marketingskills, 54k stars), Sales Os (romangojiberryAI/gojiberryai-sales-os, 139 stars), Cold Outreach Personalizer (aiskilloftheweek/claude-ai-skill-of-the-week, 149 stars) and B2B Lead Generation (minhnv0807/ai-business-skills, 609 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Outbound Prospecting Engine?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.