Founder of OneGTM. Builds outbound, signal and AI systems for startups. Ex-Unify.
Garrett Wolfe is the founder and GTM engineer behind OneGTM, a New York firm that builds outbound, signal and AI systems for startups. He was the first growth and bizops hire at Unify, where he built the automated outbound program from zero to more than $15M in pipeline within a year while the company grew past $6M ARR. Before that he co-founded Galaxy, sourced Series A and B software deals as a growth equity associate at TZP Group, and worked in Morgan Stanley's Global Technology Group. His skills cover the full outbound loop an agency runs for clients: scoring the TAM, writing the sequence, QA on what actually sent, and the performance review that keeps the client.
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Help me install the 4 skills by Garrett Wolfe from this GitHub URL in Claude: https://github.com/agiea-brain/agency-skills/tree/main/skills/garrett-wolfe Prepare only the skills in that folder, not other skills in the repository. Inspect each complete skill folder, not just SKILL.md. Preserve the original instructions and include all supporting files (such as references, scripts, templates and assets), keeping their relative paths intact. Package each skill as a downloadable ZIP containing its skill folder with SKILL.md directly inside that folder. If a skill only contains SKILL.md, package that folder too. Give me the download link for each ZIP and walk me through uploading and enabling it under Customize, Skills, Your skills in Claude (https://claude.ai/new#customize/skills/yours). If you cannot access GitHub or create downloadable files here, explain what I need to download and how to package and upload it myself. Do not invent missing files or claim the skill is installed before I upload it.
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Use this skill when an agency owes a client its periodic outbound performance review (QBR, 30-60-90, "three months in") and wants a commentable doc the client reads before the call. Pulls the numbers by channel and campaign, writes the summary, levers, what has not worked, new plays and the client's asks, adds a data appendix (TAM, who replies, objections), renders clean tables and charts, and runs the comment-and-call loop. Also use for "performance review", "QBR", "results doc", "write up how outbound is going".
Use this skill when an agency is writing, rewriting or reviewing cold email for a client: a full sequence, a subject line, first line, P.S., CTA, offer, follow-up step, spintax, a signal or trigger campaign, conference outreach, a segment and offer map, or an A/B test. Walks the decisions in order (value lever, list and signal, offer, subject, first line, body framework, CTA, follow-ups), lints the copy and sizes or reads tests. Also use for "build a sequence", "why isn't this campaign getting replies", "did variant B win".
Use this skill when an agency needs to QA every cold email a client campaign has actually sent: names and company names rendering correctly, variables filled, message coherence, pitch accuracy, ICP fit, signal-to-message alignment, sender and signature consistency, CTA calibration and cross-campaign duplication. Produces findings tagged by severity and fix location with a prioritized action list. Also use for "review our emails", "QA our outbound", "are our emails going out correctly".
Use this skill when a client's account scoring model piles everyone at the same score and the agency needs to audit it against the data, simulate revised rubrics and recommend bands, weights and multipliers that make accounts stack-rank, with a DQ cutoff that means something. Works on a Clay or spreadsheet TAM export plus its rubric. Also use for "rescore this list", "fix the scoring", "why is everyone scoring the same", "distribution is compressed", "twin-firm test".