Luopan Company Research
zhangxiaoqiang1991/luopan
罗盘的公司研究子模式。研究具体上市或非上市公司的财务增长、商业模式、 竞争生态位、治理与组织信号，并分别生成投资初筛和求职初筛。
Meeting prep skill for Claude Code and Codex: generate a 30-minute pre-call brief for any target account with headline signals, attendee profiles, ranked talking points, discovery questions, and…
Install Meeting Prep
$ npx skills add explorium-ai/gtm-skills --skill meeting-prep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install explorium-ai/gtm-skills meeting-prep --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/meeting-prep .claude/skills/meeting-prep && 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 "meeting-prep" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/meeting-prep into .claude/skills/meeting-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-prep", 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/meeting-prepType 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 meeting-prep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install explorium-ai/gtm-skills meeting-prep --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/meeting-prep .agents/skills/meeting-prep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meeting-prep" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/meeting-prep into .agents/skills/meeting-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-prep", 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 meeting-prep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install explorium-ai/gtm-skills meeting-prep --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/meeting-prep .cursor/skills/meeting-prep && 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 "meeting-prep" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/meeting-prep into .cursor/skills/meeting-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-prep", 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/meeting-prep--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 meeting-prep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install explorium-ai/gtm-skills meeting-prep --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/meeting-prep .gemini/skills/meeting-prep && 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 "meeting-prep" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/meeting-prep into .gemini/skills/meeting-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-prep", 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 meeting-prepInstalls 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 meeting-prep -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/meeting-prep .github/skills/meeting-prep && 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 "meeting-prep" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/meeting-prep into .github/skills/meeting-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-prep", 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 meeting-prep -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 meeting-prep --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/meeting-prep .opencode/skills/meeting-prep && 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 "meeting-prep" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/meeting-prep into .opencode/skills/meeting-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meeting-prep", 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.
Facts
- Skill name
meeting-prep- GitHub stars
- 175
- Token cost
- ~1.8k tokens
- SKILL.md length
- 943 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- MIT
At a glance
Meeting prep skill for Claude Code and Codex: generate a 30-minute pre-call brief for any target account with headline signals, attendee profiles, ranked talking points, discovery questions, and…
- Works in 7 steps: Anchor on purpose. Restate the meeting… → Match the business. If a business_id was… → Enrich the business broadly:… → …
- Account research before sales calls
- SKILL.md covers Input, Workflow, Output Format and Limitations
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Meeting Prep is an agent skill from explorium-ai/gtm-skills. Meeting prep skill for Claude Code and Codex: generate a 30-minute pre-call brief for any target account with headline signals, attendee profiles, ranked talking points, discovery questions, and what NOT to do. Pulls real-time firmographics, hiring signals, technographics, funding, and business events for each prospect. Use for account research before sales calls, QBR preparation, and renewal meetings. Triggers on 'prep me for a meeting with', 'build a call brief for', 'I have a call with', 'pre-meeting research…
Its SKILL.md is about 1.8k 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. The repository describes itself as: GTM Skills for Claude & Codex. The licence is MIT.
When your agent uses it
- Account research before sales calls
- QBR preparation
- Renewal meetings
- Prep me for a meeting with
Example prompts
- “prep me for a meeting with”
- “build a call brief for”
- “I have a call with”
- “/meeting-prep”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Anchor on purpose. Restate the meeting context in 1-2 sentences. If missing, ask once; if the user declines, default to general prep and…
- Match the business. If a business_id was supplied, use it directly. Otherwise resolve by name or domain. If no confident match, surface…
- Enrich the business broadly: firmographics and technographics, funding and acquisitions, strategic insights and stated challenges, hiring…
- Fetch business events on a 30-90 day window. Treat events as raw signal to triage in step 6. Event-attribution sanity check: tie every…
- Match and enrich attendees in parallel. Resolve each by email when available, otherwise by full name plus the resolved company. If an…
- Hand back raw evidence for synthesis. The calling agent writes the narrative brief. Organize so the calling agent can: triage events and…
- Write the TL;DR last, framed by the meeting purpose and desired outcome.
What it can do on your machine
Read from SKILL.md and the folder at commit f0efa6b. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Meeting Prep loads about 1.8k tokens when it runs. Until then it costs about 149 tokens; SKILL.md has 943 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from explorium-ai/gtm-skills at commit f0efa6b, republished under its MIT licence (© explorium-ai). 943 words, ~1,779 tokens.
Download SKILL.mdSave it as
.claude/skills/meeting-prep/SKILL.md (or your agent's skills folder).- name
- meeting-prep
- description
- Meeting prep skill for Claude Code and Codex: generate a 30-minute pre-call brief for any target account with headline signals, attendee profiles, ranked talking points, discovery questions, and what NOT to do. Pulls real-time firmographics, hiring signals, technographics, funding, and business events for each prospect. Use for account research before sales calls, QBR preparation, and renewal meetings. Triggers on 'prep me for a meeting with', 'build a call brief for', 'I have a call with', 'pre-meeting research on'. Works in Claude Code, Codex, Hermes-Agent, and Claude Cowork.
Meeting Prep
Pull the company, signal, and attendee evidence the calling agent needs to write a tight, decision-ready brief for a ~30-minute meeting.
Input
- Account identifier (required): an Explorium business_id (preferred), or a company name or domain.
- Attendees (recommended): names and/or emails. Without attendees the brief is necessarily generic.
- Meeting context (strongly recommended): free-form description of purpose, stakes, prior discussions, deal stage, walk-out goals, known tensions, competitive context, the offering in play, hypotheses to test, and pitfalls. Flat enums produce flat briefs.
If the identifier is ambiguous: a string with a dot or known TLD is a domain; otherwise treat it as a name.
Workflow
Parallelize aggressively. Company enrichment fans out from the resolved account; per attendee, resolve and enrich profile evidence in parallel.
- Anchor on purpose. Restate the meeting context in 1-2 sentences. If missing, ask once; if the user declines, default to general prep and state that assumption. Derive purpose (1 line), desired outcome, 3-5 priority topics, named risks or hypotheses. These drive insight focus, attendee framing, talking-point ranking, and the suggested agenda.
- Match the business. If a business_id was supplied, use it directly. Otherwise resolve by name or domain. If no confident match, surface the ambiguity rather than guessing. Domain-variant sanity check: if firmographics show a major brand but headcount is 1-50 and the entity looks like a registered-agent shell, retry with the alternate domain (.so vs .com) or the company-name string.
- Enrich the business broadly: firmographics and technographics, funding and acquisitions, strategic insights and stated challenges, hiring direction and workforce trends, competitive landscape and company hierarchies, recent LinkedIn posts, website changes. Gather broadly now; decide relevance during synthesis.
- Fetch business events on a 30-90 day window. Treat events as raw signal to triage in step 6. Event-attribution sanity check: tie every event to the matched business; do not blend across the parent / subsidiary tree silently.
- Match and enrich attendees in parallel. Resolve each by email when available, otherwise by full name plus the resolved company. If an attendee cannot be resolved, note it; do not fabricate. Enrich each resolved person for profile (seniority, department, tenure, prior roles). Pull contacts only when the user intends to send outreach: default email-only (cheaper), switch to email + phone only when phone is required (SDR dialer flows). Per-prospect post history is a current gap; pull the employer's recent posts for voice instead.
- Hand back raw evidence for synthesis. The calling agent writes the narrative brief. Organize so the calling agent can: triage events and posts (keep items tied to purpose, deal stage, attendees, priority topics; drop generic press); classify per-attendee posture from employment history and recent voice (Cold, Warm-but-dormant with significant past tenure at a relevant prior employer, Active, Hostile); rank 3-5 talking points by relevance to the desired outcome, each tied to a specific surfaced fact and ideally a named attendee; mark each named hypothesis confirmed, contradicted, or unresolved; tag claims by source category; flag any past-dated milestone for verification rather than dropping silently.
- Write the TL;DR last, framed by the meeting purpose and desired outcome.
Show full SKILL.md (430 more words)Show less
Output Format
- TL;DR: meeting purpose / desired outcome in one line (or "general meeting prep (no context supplied)" if defaulted); top 3 to know walking in, each tied to the outcome; hypothesis check one line each (confirmed / contradicted / unresolved); "Open with" a single recommended opening line, verbatim, calibrated to attendee posture.
- Company Snapshot: industry, size bucket, revenue range, HQ, website, business model. One paragraph weaving in strategic priorities and current challenges.
- Signals Worth Raising: grouped by category (funding and M&A, hiring direction, tech stack overlap or gaps, recent business events, voice on LinkedIn or site changes, competitive context, parent / subsidiary). For any past date inline: "Verify; date is in the past."
- Attendees: per attendee, name and title, department (fallback "Unattributed" when null), canonical seniority display (c-suite, vice president, director, manager), email, phone, LinkedIn, time in role, posture (Cold / Warm-but-dormant / Active / Hostile). "Why they matter for THIS meeting": 2 lines max. Talking points for them: 1-2 specific. If profile data is thin: "Profile data restricted; verify externally."
- Talking Points (3-5): ranked by impact, tagged for audience, each referencing a supporting data point with its source category tag. Prioritize items that show homework, connect to the offering, surface competitive angles, or hit a specific persona.
- Discovery Questions (3-5): specific, anchored in concrete facts. Tag each for an attendee or the group.
- Suggested Agenda (~30 min): (0-5) Open with the calibrated line; (5-15) Explore with the top talking point and 2 questions; (15-25) Develop with the secondary point, demo, or proposal; (25-30) Close on the specific desired next step.
- What NOT to Do: 1-3 specific failure modes for THIS meeting. Concrete, not generic.
Limitations
- Strategic insights and stated challenges are sourced from SEC 10-K filings: for private companies these will be all-null, and for public companies they can be 12-18 months stale. Use business events, funding, workforce trends, and recent posts for current-state signals.
- Business event fetching supports a date floor but no upper bound; window the upper edge client-side.
- Company size and revenue are bucketed. State buckets verbatim; do not interpolate exact figures.
- No native CRM relationship history or deal-stage data. Posture must be inferred from profile history and post voice, plus user-supplied context.
- No executive-move event enum. New-hire / departure signals must be inferred from workforce trends and profile changes, not fetched as a typed event.
- Past-dated milestones must be verified externally; treat them as prompts to check, not ground truth.
- Attendees who cannot be matched should be listed as unresolved. Do not synthesize their roles.
- Department is null for many cross-functional senior roles (Chief X Officer, President, Founder). Group these under "Unattributed".
© 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
Files
Just SKILL.md in skills/meeting-prep of explorium-ai/gtm-skills.
Open the folder on GitHubat commit f0efa6b
Compare with similar skills
Meeting Prep 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 |
|---|---|---|---|---|---|---|
| Meeting Prep this skillexplorium-ai/gtm-skills | 175 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Luopan Company Researchzhangxiaoqiang1991/luopan | 389 | — | ~998 | Automated safety check: Pass | MIT | |
| Company Researchstophobia/deerflow2.0-enhanced | 821 | — | ~845 | Automated safety check: Pass | MIT | |
| Meeting Prep BriefBrianRWagner/ai-marketing-claude-code-skills | 440 | — | ~922 | Automated safety check: Pass | None | |
| SdtStopDisTrain/sdt-skills | 309 | — | ~535 | Automated safety check: Pass | MIT | |
| Account Researchextruct-ai/gtm-skills | 109 | — | ~1.6k | Automated safety check: Pass | None |
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Questions about Meeting Prep
What does Meeting Prep do?
Meeting prep skill for Claude Code and Codex: generate a 30-minute pre-call brief for any target account with headline signals, attendee profiles, ranked talking points, discovery questions, and…. Meeting Prep is an agent skill from explorium-ai/gtm-skills. Meeting prep skill for Claude Code and Codex: generate a 30-minute pre-call brief for any target account with headline signals, attendee profiles, ranked talking points, discovery questions, and what NOT to do.
When should I use Meeting Prep?
Meeting Prep fits situations like: account research before sales calls; QBR preparation; renewal meetings; prep me for a meeting with.
How do I install Meeting Prep in Claude Code?
Run `npx skills add explorium-ai/gtm-skills --skill meeting-prep -a claude-code`. Or copy the skill folder (skills/meeting-prep in explorium-ai/gtm-skills) into .claude/skills/meeting-prep in your project. Claude Code loads it when a task matches its description.
How do I install Meeting Prep in Codex?
Run `npx skills add explorium-ai/gtm-skills --skill meeting-prep -a codex`. Or copy the skill folder (skills/meeting-prep in explorium-ai/gtm-skills) into .agents/skills/meeting-prep in your project. Codex loads it when a task matches its description.
Can I use Meeting Prep in Cursor, Gemini CLI or GitHub Copilot?
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 meeting-prep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meeting-prep, .gemini/skills/meeting-prep, .github/skills/meeting-prep and .opencode/skills/meeting-prep in your project.
What does Meeting Prep need to run?
SKILL.md names no scripts, command-line tools or credentials: Meeting Prep is instructions for the agent only.
Does Meeting Prep access the network?
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.
Is Meeting Prep safe to install?
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.
What licence does Meeting Prep use?
Meeting Prep is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Meeting Prep use?
About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Meeting Prep?
Skills that share tags, products or a category with Meeting Prep: Luopan Company Research (zhangxiaoqiang1991/luopan, 389 stars), Company Research (stophobia/deerflow2.0-enhanced, 821 stars), Meeting Prep Brief (BrianRWagner/ai-marketing-claude-code-skills, 440 stars) and Sdt (StopDisTrain/sdt-skills, 309 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Meeting Prep?
explorium-ai (a GitHub organization) maintains it in explorium-ai/gtm-skills, which has 175 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.