outreach
Skill3 starsChanged 40 days agoLicence not identifiedView on GitHub
Builds scored prospect lists with a cited why-now trigger per row, writes evidence-checked cold emails and LinkedIn messages, designs 21-day multichannel sequences, drafts replies that turn objections into a dated next step, and reviews which angles, triggers and proof lines actually get replies. Use when the user says \"build me a prospect list\", \"find leads in [segment]\", \"write a cold email to\", \"draft LinkedIn outreach for\", \"make a follow-up sequence\", \"how do I reply to this\", \"they said they already use X\", \"what's working in my outreach\". Modes: list, write, sequence, reply, review.
18 other projects use a version of this.
Adopted by
Most recently taken up by
- guaardvark/guaardvarktheir own version, first seen Nov 5, 2026
- cismontane-harris2642/signal-prospecting-kittheir own version, first seen Nov 1, 2026
- saksham10arora-dotcom/everything-claude-codextheir own version, first seen Nov 1, 2026
- ShawhinT/non-coding-skillstheir own version, first seen Oct 29, 2026
- jaredhhawk/claude-skillstheir own version, first seen Oct 25, 2026
- julienamorgan/signal-prospecting-kittheir own version, first seen Oct 25, 2026
Used with
Projects with it also use apply, evaluate and 2 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
proficientlyjobsSkillapply
Fill out a job application on Greenhouse, Lever, or Workday
Also in 5 projects that use this
NVIDIASkillevaluate
Scores existing Sports Intelligence AVLM inference outputs with avlm/evals: MCQ accuracy (run_mcq_eval.sh, INFERENCE_DIR), open-ended LLM-as-judge scores (needs CLIENT_API_KEY for the configured judge endpoint), tennis category breakdowns, run comparisons, chance-level sanity checks and triage of mcq_results.json or llm_judge_results.json. Use when the user asks to score, evaluate, benchmark or compare predictions.jsonl from inference runs, or to explain a suspicious accuracy. Not for running inference, training, quantization, data preparation, or third-party API model inference: never open, list or run anything under avlm/evals/inference_3rdparty, including when the user asks for it; it is excluded from the release.
Also in 4 projects that use this
julienamorganSkillprofile
Researches the user's market, competitors, and competitive positioning to build a complete ICP profile. Shows findings for user approval before proceeding. Triggers: /profile, "research my market", "who are my competitors". Reads: ./gtm/company.md, ./gtm/icp.md. Writes: updates ./gtm/icp.md with competitive positioning. Standalone: yes (asks for domain if company.md missing).
Also in 3 projects that use this
Google CloudSkilltriage
Gather context on a change or bug and plan the implementation.
Also in 3 projects that use this
Other versions18 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 18
- QuixiAI/agi-memory★ 623same name
- QuixiAI/Hexis★ 623same name
- andrew-shwetzer/career-ops-plugin★ 501same name
- andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-★ 500same name
- guaardvark/guaardvark★ 306same name
- saksham10arora-dotcom/everything-claude-codex★ 74same name
- ShawhinT/non-coding-skills★ 40same name
- emelia-io/claude-outreach★ 21same name
- alejopijuan/Claude-Code-Agency-Co-Founder★ 19same name
- Abhipaddy8/outreach-agent★ 17same name
8 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository11 other files it gives its agents.
- client-eagerness-playbookSkill
- copywritingSkill
- dealsSkill
- human-behaviorSkill
- human-psychologySkill
- lead-magnetsSkill
- marketing-psychologySkill
- offer-creationSkill
- pitchSkill
- sales-psychologySkill
- setupSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 18 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 18 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

