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ShawhinTShawhinT/non-coding-skills/outreach/SKILL.md

outreach

Skill40 starsChanged 13 days agoNo licenceView on GitHub

Run 1:1 outreach campaigns end-to-end — sourcing the list, enriching it, triaging into segments, setting up a Notion tracker, drafting templates, sending, and logging responses. Use this skill whenever Shaw is building a list of people to reach out to, setting up outreach tracking, or crafting the messages themselves. Triggers include: \"find people on LinkedIn\", \"pull my connections\", \"build a lead list\", \"enrich this CSV\", \"get company sizes\", \"clean a Sales Nav lead list\", \"set up outreach\", \"create an outreach table\", \"add people to the outreach list\", \"who have I reached out to\", \"update outreach\", \"sync the outreach\", \"who registered\", \"write me an outreach message\", \"draft a DM template\", or any time Shaw shares a batch of names he's reaching out to. Also casual phrasing like \"check my LinkedIn for analytics people\", \"I texted these 5 people\", \"what should I say to these people\". Covers workshops, events, research calls, partnerships, reshare asks (lead getters), and any 1:1 outreach initiative.\n

18 other projects use a version of this.

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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.
  • proficientlyjobsSkill

    apply

    Fill out a job application on Greenhouse, Lever, or Workday

    Also in 5 projects that use this

  • NVIDIASkill

    evaluate

    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

  • julienamorganSkill

    profile

    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 CloudSkill

    triage

    Gather context on a change or bug and plan the implementation.

    Also in 3 projects that use this

The file

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We split this skill into the rules it gives an agent

16 rules. 0 are common, 11 are distinctive, and 5 are very specific to this project.

  • 0

    Common

    Most of the 18 edited versions we read keep these.

  • 11

    Distinctive

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — 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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