Referral Intro
TheCraigHewitt/skills
When the user wants to ask for a warm introduction, build a referral program, or systematize their referral channel.
Account research skill for Claude Code and Codex: generate a high-signal company intelligence brief including firmographics, technographics, funding history, hiring signals, business events, recent…
$ npx skills add explorium-ai/gtm-skills --skill account-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install explorium-ai/gtm-skills account-research --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/explorium-ai/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/account-research .claude/skills/account-research && 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 "account-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/account-research into .claude/skills/account-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "account-research", 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/explorium-ai/gtm-skills/tree/main/skills/account-researchType 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 explorium-ai/gtm-skills --skill account-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install explorium-ai/gtm-skills account-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/account-research .agents/skills/account-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "account-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/account-research into .agents/skills/account-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "account-research", 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 explorium-ai/gtm-skills --skill account-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install explorium-ai/gtm-skills account-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/account-research .cursor/skills/account-research && 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 "account-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/account-research into .cursor/skills/account-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "account-research", 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/explorium-ai/gtm-skills.git --path skills/account-research--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 explorium-ai/gtm-skills --skill account-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install explorium-ai/gtm-skills account-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/account-research .gemini/skills/account-research && 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 "account-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/account-research into .gemini/skills/account-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "account-research", 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 explorium-ai/gtm-skills account-researchInstalls 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 explorium-ai/gtm-skills --skill account-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/account-research .github/skills/account-research && 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 "account-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/account-research into .github/skills/account-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "account-research", 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 explorium-ai/gtm-skills --skill account-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install explorium-ai/gtm-skills account-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/explorium-ai/gtm-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/account-research .opencode/skills/account-research && 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 "account-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/account-research into .opencode/skills/account-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "account-research", 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.
account-researchAccount research skill for Claude Code and Codex: generate a high-signal company intelligence brief including firmographics, technographics, funding history, hiring signals, business events, recent…
Account Research is an agent skill from explorium-ai/gtm-skills. Account research skill for Claude Code and Codex: generate a high-signal company intelligence brief including firmographics, technographics, funding history, hiring signals, business events, recent website and LinkedIn moves, and a peer cohort. Identify the account by businessid, company name, or domain. Use for pre-call research, QBR prep, competitive analysis, cold outbound targeting, and renewal risk assessment. The go-to account research skill for Claude Code, Codex, Hermes-Agent, and OpenClaw.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Sales & Support, covering Sales call preparation, Customer success and Cold outreach. It works with LinkedIn. The repository describes itself as: GTM Skills for Claude & Codex. The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f0efa6b. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Account Research loads about 2.8k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 1,497 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.
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.
The full file from explorium-ai/gtm-skills at commit f0efa6b, republished under its MIT licence (© explorium-ai). 1,497 words, ~2,808 tokens.
.claude/skills/account-research/SKILL.md (or your agent's skills folder).Build a purpose-driven intelligence brief on a single target company, anchored on the user's stated reason for pulling the brief.
Example phrasings: "Build a brief on stripe.com for cold outbound to finance leaders.", "Account brief for business_id abc123, QBR next week, watch renewal signals.", "Profile Snowflake, competitive analysis vs Databricks."
Anchor on purpose. Restate the research context in one sentence as the brief purpose. If missing, ask once; if the user declines, default to general account intelligence and state that assumption. Derive 2 to 4 priority themes (e.g. for QBR renewal risk: workforce changes, exec moves, competing vendors, expansion signals). Themes drive enrichment selection in step 3 and peer-cohort sub-category in step 5.
Resolve the company. If a business ID was supplied, use it. Otherwise match the business by name or domain. Sanity-check the resolved firmographics: if a major-brand input returns 1-50 employees and Corporate-Managing-Offices category, the match likely routed to a shell entity. Retry with the alternate domain or the name string before proceeding. If no confident match emerges, surface the ambiguity to the user before continuing rather than guessing.
Enrich the resolved business in tiers.
Tier A: spine (always pull): firmographics, hierarchies, funding-and-acquisitions, workforce-trends, linkedin-posts. Plus business events from step 4 (separate tool, same role: current-state signal). The spine is uniform across every brief because each item answers a question the reader will ask regardless of purpose.
Tier B: purpose-conditional (pick by the purpose declared in step 1):
Tier C: skip by default unless the purpose explicitly demands it.
Chunking: run enrichments in groups of at most 3 per call, and each chunk against the original match table rather than a post-enrichment view. Session column count grows per enrichment and the chain breaks around the 4th-5th wide call.
Any tier item that returns null OR is intentionally skipped must surface in the brief as a one-line note inside its section ("Skipped: not in this purpose's bundle" or "Returned null: typical for private companies"), so the reader can distinguish absent data from absent investigation.
Fetch business events scoped to the last 90 days: hiring spikes, leadership changes (where surfaced), funding rounds, product launches, layoffs, office moves, tech adoption. For each event, verify the headline actually mentions the target before counting it: industry-wide articles can cross-attribute to multiple companies in the same sector.
Build a peer cohort (directional).
5a. Sub-category from purpose, not industry label. A broad industry label (e.g. "Software Development") routes mega-tech defaults like Google or Amazon into a small-tech peer query. Derive the sub-category from the brief purpose instead:
<competitor>" → the named competitor's sub-vertical (Databricks → data warehouse / lakehouse)<function> leaders" → the target's GTM sub-vertical5b. Manually include named competitors. If the user prompt named a specific competitor or comparator, include it in the cohort even if filters would exclude it (private status, different size band, different country). Label such rows "named in prompt: manually included" so the reader can audit.
5c. Suppress when thin. If after sub-category filtering and manual additions the cohort still has fewer than 5 confident matches, do NOT render the table. Replace with one line: "Peer cohort suppressed: fewer than 5 confident matches in <sub-category>. Recommend manual comparison against <2-3 named alternatives, tagged verify externally>."
Add a "Cohort construction" line above the table stating the sub-category used and any manually-included names.
Reconcile and verify before synthesis.
Synthesize against the brief purpose. Keep events and signals that map to the purpose, priority themes, or non-obvious flags. Mark past-date enrichments as needing verification. Suppress sections that lack volume: skip funding for public mega-caps (use ticker instead per step 6), flatten challenges or insights to bullets when only 1-3 items. Cross-reference signals (new CTO plus a webstack change plus engineering hiring = a clear timing signal).
Write the exec summary last. Re-read the body, then write the TL;DR. The Situation line must explicitly answer "why this brief, now" against the stated purpose.
Brief purpose (restated, or "general account intelligence" if defaulted). Then: Situation (2 to 4 sentences answering "why this brief, now" against the stated purpose), Top 3 facts (most consequential data points), Highest-leverage actions (1 to 3 concrete actions tied to specific signals).
A compact field table: Domain, Industry, Headcount bucket, Revenue bucket, HQ Country / Region, Public / Private, Founded, business_id. Any row not returned by firmographics is filled by one fallback per step 6 or marked "not surfaced".
Firmographics plus parent / subsidiary structure. Note recent restructuring. If hierarchies returned null, state it.
Total raised, most recent round date and amount, acquisitions. If business events surfaced a more recent round than the enrichment, lead with the events-side fact and flag the enrichment lag. For public mega-caps, lead with ticker + one-line financial posture per step 6.
Net headcount change, departmental growth, hiring spikes or contractions. Flag exec moves surfaced via LinkedIn posts or events.
Tools in use, recent additions or removals, keyword shifts. Highlight items mapping to the user's offering or competitors. If this tier was not pulled for the declared purpose, say so explicitly rather than mislabeling the section.
Stated pain points, public priorities, expansion plans. Tie back to brief purpose. If null because the target is private, state that and point to the live-signal substitutes (events, funding, workforce, LinkedIn).
Grouped (Funding / Leadership / Hiring / Product / Risk) when 4+ items span categories, otherwise flat. Each item: event type, date, one-line summary, verified-status per step 6. Call out timing opportunities (new CTO = vendor evaluation likely). End with "events screened out: N (industry-wide cross-attribution)" + any event-type gaps.
First line: "Cohort construction: <sub-category derived from purpose>; manually included: <names if any>." Caveat that the set is approximated from shared sub-category attributes, not exact similarity. Then a top-10 table: Company, Domain, Size, Revenue, Country. If fewer than 5 confident matches survived, suppress the table per step 5c and replace with the recommendation line.
3 to 5 bullets connecting dots across sources, framed by the stated purpose. Then concrete next actions tied to specific signals, people, or moments. Omit any line without a concrete target.
© explorium-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/account-research of explorium-ai/gtm-skills.
Open the folder on GitHubat commit f0efa6b
Account Research 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 |
|---|---|---|---|---|---|---|
| Account Research this skillexplorium-ai/gtm-skills | 185 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Referral IntroTheCraigHewitt/skills | 159 | — | ~6.7k | 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 |
TheCraigHewitt/skills
When the user wants to ask for a warm introduction, build a referral program, or systematize their referral channel.
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.
romangojiberryAI/gojiberryai-sales-os
A complete outbound sales department in one skill. An agent skill from romangojiberryAI/gojiberryai-sales-os.
aiskilloftheweek/claude-ai-skill-of-the-week
Generates hyper-personalized cold outreach messages (email, LinkedIn DM, connection request) from raw prospect research.
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.
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.
explorium-ai/gtm-skills
Browser extension builder skill for Claude Code and Codex: scaffolds a local, unpacked Chrome extension that reveals verified B2B contact info (email, phone, job title, company) directly on a…
explorium-ai/gtm-skills
Lead generation tool builder skill for Claude Code and Codex: scaffolds a complete, self-hostable, ZoomInfo-style B2B lead-generation web app — company & contact search UI, firmographic and…
explorium-ai/gtm-skills
Data cleaning, entity matching, and deduplication skill for Claude Code and Codex: triage, standardize, and validate a CSV, Excel, or JSON list of B2B companies or contacts before enrichment.
explorium-ai/gtm-skills
ABM campaign skill for Claude Code: run a full Account-Based Marketing campaign end-to-end — from ICP definition to live LinkedIn Ads.
explorium-ai/gtm-skills
Contact data skill for Claude Code and Codex: build a ranked shortlist of decision-makers and contacts at a target company for outbound prospecting, deal acceleration, or renewal/expansion plays.
explorium-ai/gtm-skills
Lead scoring and buying signals skill for Claude Code and Codex: rank a list of accounts by ICP fit, buying intent, real-time trigger events, and workforce momentum.
Works with
Categories
Account research skill for Claude Code and Codex: generate a high-signal company intelligence brief including firmographics, technographics, funding history, hiring signals, business events, recent…. Account Research is an agent skill from explorium-ai/gtm-skills. Account research skill for Claude Code and Codex: generate a high-signal company intelligence brief including firmographics, technographics, funding history, hiring signals, business events, recent website and LinkedIn moves, and a peer cohort.
Account Research fits situations like: pre-call research; competitive analysis; cold outbound targeting; renewal risk assessment.
Run `npx skills add explorium-ai/gtm-skills --skill account-research -a claude-code`. Or copy the skill folder (skills/account-research in explorium-ai/gtm-skills) into .claude/skills/account-research in your project. Claude Code loads it when a task matches its description.
Run `npx skills add explorium-ai/gtm-skills --skill account-research -a codex`. Or copy the skill folder (skills/account-research in explorium-ai/gtm-skills) into .agents/skills/account-research in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add explorium-ai/gtm-skills --skill account-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/account-research, .gemini/skills/account-research, .github/skills/account-research and .opencode/skills/account-research in your project.
SKILL.md names no scripts, command-line tools or credentials: Account Research is instructions for the agent only.
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.
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.
Account Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Account Research: Referral Intro (TheCraigHewitt/skills, 159 stars), Prospecting (coreyhaines31/marketingskills, 54k stars), Sales Os (romangojiberryAI/gojiberryai-sales-os, 139 stars) and Cold Outreach Personalizer (aiskilloftheweek/claude-ai-skill-of-the-week, 149 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
explorium-ai (a GitHub organization) maintains it in explorium-ai/gtm-skills, which has 185 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.
Source: explorium-ai/gtm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.