researcher
Skill33 starsChanged 11 days agoMITView on GitHub
Researcher. Reads up on every prospect before the call. Reads the business's own public website (home, about, services, team, contact), pulls out the facts (how they describe themselves, what they offer, how long they have been open, their rating, phone, socials, which booking or ordering tools they use and which they do not) and writes a one-page brief to closer/research/ with talking points and questions to ask, every fact with its source. Use when the user says "research X", "prep me for my call", "what do we know about X", "look into this lead", "brief me", or before any booked call.
40 other projects use a version of this.
Adopted by
Most recently taken up by
- natgalla/context-historiantheir own version, first seen Nov 6, 2026
- AhmedAbdelfattah0/AI-Skillstheir own version, first seen Nov 4, 2026
- AlekseiUL/heisenberg-team-GPTtheir own version, first seen Nov 1, 2026
- AlekseiUL/heisenberg-teamtheir own version, first seen Nov 1, 2026
- Mazalucas/El-DT-Lightweight-Armytheir own version, first seen Oct 26, 2026
- Rajveerx11/skillstheir own version, first seen Oct 25, 2026
Used with
Projects with it also use build-premium-website, cost-reducer and 10 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.
yawningwhaleAISkillbuild-premium-website
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Also in 7 projects that use this
huyvpSkillcost-reducer
Reduce cloud, infrastructure, and operational costs while maintaining performance. Use when writing database queries, configuring cloud resources, optimizing bundles, setting up caching, choosing between services, sizing instances, configuring CDN, managing storage, or reviewing code for cost inefficiencies. Covers AWS/GCP/Vercel pricing, database optimization, serverless tuning, image pipelines, observability costs, and FinOps practices.
Also in 11 projects that use this
yawningwhaleAISkillinstantly-campaign
Create a new Instantly cold-email campaign in the proven 5-email structure of the user's top-performing campaign (~16% reply rate). Use when the user wants to launch a new outbound campaign, write a cold email sequence, create an Instantly campaign, draft outreach for a new service or niche, or set up a sales sequence.
Also in 6 projects that use this
xfstudioSkilltrigger-dev
Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.
Also in 10 projects that use this
ffsshhttiikkSkillscalability
Core foundational concepts and principles for Scalability
Also in 10 projects that use this
h-mascotSkillself-healing
Wrap long-running or fragile OpenClaw work in checkpointed retries, watchdogs, fallback models, and proof-of-completion so failed subagents can resume instead of silently dying.
Also in 12 projects that use this
- +4 more from yawningwhaleAI
Other versions40 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 40
- keli-wen/agy-staff★ 828same name
- bitwize-music-studio/claude-ai-music-skills★ 589same name
- understudy-ai/understudy★ 461same name
- krzysztofdudek/ResearcherSkill★ 269same name
- antonbabenko/deliberation★ 181same name
- svy04/ballast★ 73same name
- timscheuerai/content-vault★ 38same name
- AlekseiUL/heisenberg-team★ 17same name
- maher-naija-pro/claude-researcher★ 13same name
- calven-ai/marketing-as-code★ 10same name
30 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 repository10 other files it gives its agents.
- contract-writerSkill
- follow-upSkill
- forecasterSkill
- pipelineSkill
- proposal-writerSkill
- prospectorSkill
- record-keeperSkill
- sales-coachSkill
- schedulerSkill
- win-backSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 8 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 36 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 30
Read the brief. Then, if useful, look at public listings for the business (its Google Business Profile, Yelp page, local news about it) …
- Distinctive: line 44
Not seen is a hint, not proof: ask.
- Distinctive: line 46
Sources: every page used.
- Distinctive: line 50
Before Thursday's call with Dana Ortiz, the brief for Harbor Lane Dental: a family dental practice in Austin, TX.
- Distinctive: line 57
Never researches a person's private life: no home address, family, personal social accounts, age, health or anything they did not publish …
- Distinctive: line 59
Never reads anything behind a login or a paywall, and never more than 4 pages of one site per brief.
- Distinctive: line 60
Never states a guess as a fact.
- Distinctive: line 68
Never invent a number, a result, a client or a review.
“Common” is measured: kept by at least 6 in 10 of the 36 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.
Files
researcher
Five minutes of reading turns a cold call into a conversation. The Researcher reads what the business says about itself and gives the user three true things to talk about and the right questions to ask.
${CLAUDE_SKILL_DIR} below is this skill's folder (where this SKILL.md lives).
python3 "${CLAUDE_SKILL_DIR}/brief.py" build --contact dana-harbor-lane
python3 "${CLAUDE_SKILL_DIR}/brief.py" facts --url https://harborlanedental.comSteps
brief.py build --contact <id>. It reads at most 4 public pages of the contact's website, one at a time, and writescloser/research/<id>.md.- Read the brief. Then, if useful, look at public listings for the business (its Google Business Profile, Yelp page, local news about it) with a web search. Add only business facts, each with its link.
- Fill the
[Claude: ...]lines: three talking points that are specific and true ("You've been on Lamar since 2009", "Your reviews mention the wait on the phone"), and two more questions for this business. - Tie it to the gap
/prospectorfound, as a question, not an accusation: "What happens when someone wants to book at 9 PM?" - Show the user the finished brief before the call.
/sales-coachuses it during the call.
What goes in the brief
- The business: their own description, years open, rating and review count shown on their site, phone, social links.
- What they offer: their own page headings, in their words.
- What we noticed: tools seen on the site and tools not seen (booking, ordering, ads tag, chat). Not seen is a hint, not proof: ask.
- Talking points and questions to ask.
- Sources: every page used.
Example from the reel
Before Thursday's call with Dana Ortiz, the brief for Harbor Lane Dental: a family dental practice in Austin, TX; the site lists services and a phone number; no online booking tool on any page (the gap the Prospector found); questions: "How do most new patients find you today?" and "What happens when someone wants to book after hours?" (Illustrative: Harbor Lane Dental is fictional.)
What it never does
- Never researches a person's private life: no home address, family, personal social accounts, age, health or anything they did not publish as part of their business.
- Never reads anything behind a login or a paywall, and never more than 4 pages of one site per brief.
- Never states a guess as a fact. "Not seen" stays "not seen".
Consent and truth
- Public business information only when researching: the company's own site and public listings, never a person's private life, home or family, and nothing behind a login.
- Nothing is sent, booked or signed without the user's explicit yes for that exact message, invite or document. This skill only reads and writes notes.
- Never invent a number, a result, a client or a review. Every fact carries its source.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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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.
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