Suede Competitor Profiling
JasonColapietro/suede-creator-skills
Suede-owned competitive-intelligence discipline for evidence-backed profiles of positioning, pricing, messaging, product, proof, and public-market signals.
Competitive intelligence skill for Claude Code and Codex: build a fact-led competitive brief or side-by-side battlecard on one or more rival companies using real-time firmographics, funding…
Install Competitor Research
$ npx skills add explorium-ai/gtm-skills --skill competitor-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install explorium-ai/gtm-skills competitor-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/competitor-research .claude/skills/competitor-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 "competitor-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/competitor-research into .claude/skills/competitor-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-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/competitor-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 competitor-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install explorium-ai/gtm-skills competitor-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/competitor-research .agents/skills/competitor-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 "competitor-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/competitor-research into .agents/skills/competitor-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-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 competitor-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install explorium-ai/gtm-skills competitor-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/competitor-research .cursor/skills/competitor-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 "competitor-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/competitor-research into .cursor/skills/competitor-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-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/competitor-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 competitor-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install explorium-ai/gtm-skills competitor-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/competitor-research .gemini/skills/competitor-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 "competitor-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/competitor-research into .gemini/skills/competitor-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-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 competitor-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 competitor-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/competitor-research .github/skills/competitor-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 "competitor-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/competitor-research into .github/skills/competitor-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-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 competitor-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 competitor-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/competitor-research .opencode/skills/competitor-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 "competitor-research" agent skill from https://github.com/explorium-ai/gtm-skills/tree/main/skills/competitor-research into .opencode/skills/competitor-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "competitor-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.
Facts
- Skill name
competitor-research- GitHub stars
- 175
- Token cost
- ~1.6k tokens
- SKILL.md length
- 789 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- MIT
At a glance
Competitive intelligence skill for Claude Code and Codex: build a fact-led competitive brief or side-by-side battlecard on one or more rival companies using real-time firmographics, funding…
- Works in 9 steps: Anchor on purpose. Restate the brief… → Resolve each competitor: match a… → Enrich each resolved competitor across… → …
- Sales battlecards
- SKILL.md covers Input, Workflow, Output Format and Limitations
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Competitor Research is an agent skill from explorium-ai/gtm-skills. Competitive intelligence skill for Claude Code and Codex: build a fact-led competitive brief or side-by-side battlecard on one or more rival companies using real-time firmographics, funding, headcount, exec roster, hiring shifts, tech stack, and recent strategic moves. Use for sales battlecards, GTM competitive analysis, and market intelligence. Triggers on 'competitor analysis', 'size up a competitor', 'compare rivals', 'competitive landscape', 'vendor battlecard', 'rival snapshot', 'track competitor moves'…
Its SKILL.md is about 1.6k 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 Marketing & SEO, covering Competitor analysis and Sales enablement. The repository describes itself as: GTM Skills for Claude & Codex. The licence is MIT.
When your agent uses it
- Sales battlecards
- GTM competitive analysis
- Market intelligence
- Competitor analysis
Example prompts
- “competitor analysis”
- “size up a competitor”
- “compare rivals”
- “/competitor-research”
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Anchor on purpose. Restate the brief purpose, priority angles, and hypotheses in 1-2 sentences before any tool call so synthesis stays…
- Resolve each competitor: match a business by name + domain when available. Domain-variant sanity check: if a major-brand input resolves to…
- Enrich each resolved competitor across these dimensions: firmographics (HQ, headcount, revenue, founded), competitive landscape (named…
- Fetch business events for the resolved set, scoped to the last 90 days. Keep events that map to: product launches, leadership changes at…
- Surface the executive team per competitor: size the audience first (count of C-level and VP roles per company), then sample a small slice…
- If the user asks for outreach-ready contacts on a specific exec subset, enrich those prospects with contacts and profiles. Default to…
- Classify ICP overlap per competitor (High / Partial / None) using firmographics versus the user's stated ICP. If no ICP was stated, mark…
- Address each named hypothesis explicitly as confirmed, contradicted, or unresolved, citing the specific enrichment or event row that drove…
- Final delivery: write the working table out only as the last step (exec roster + key firmographic columns); keep all intermediate previews…
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
Competitor Research loads about 1.6k tokens when it runs. Until then it costs about 148 tokens; SKILL.md has 789 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). 789 words, ~1,592 tokens.
Download SKILL.mdSave it as
.claude/skills/competitor-research/SKILL.md (or your agent's skills folder).- name
- competitor-research
- description
- Competitive intelligence skill for Claude Code and Codex: build a fact-led competitive brief or side-by-side battlecard on one or more rival companies using real-time firmographics, funding, headcount, exec roster, hiring shifts, tech stack, and recent strategic moves. Use for sales battlecards, GTM competitive analysis, and market intelligence. Triggers on 'competitor analysis', 'size up a competitor', 'compare rivals', 'competitive landscape', 'vendor battlecard', 'rival snapshot', 'track competitor moves'. Works in Claude Code, Codex, Hermes-Agent, and OpenClaw.
Competitor Research
Produce a dated, source-tagged competitive brief for one or more named rival companies.
Input
- One or more competitor company names or domains (required).
- Optional brief purpose (e.g. "battlecard for renewal", "board update", "win-loss prep"). If absent, ask once before running so the synthesis stays grounded.
- Optional priority angles (e.g. "pricing pressure", "AI roadmap", "EMEA expansion").
- Optional named hypotheses to confirm or contradict.
Workflow
Anchor on purpose. Restate the brief purpose, priority angles, and hypotheses in 1-2 sentences before any tool call so synthesis stays scoped.
Resolve each competitor: match a business by name + domain when available. Domain-variant sanity check: if a major-brand input resolves to a tiny headcount with a "Corporate Managing Offices" or "Hotels and motels" classification, the match likely routed to a registered-agent shell entity. Re-try with the alternate domain or with the company-name string. Do not proceed with the wrong identity. Skip any name that does not resolve confidently and flag it under data quality.
Enrich each resolved competitor across these dimensions: firmographics (HQ, headcount, revenue, founded), competitive landscape (named competitors), strategic insights (priorities and recent moves), funding and acquisitions (rounds and M&A), workforce trends (headcount trajectory), technographics (current stack), challenges (publicly surfaced risks), company ratings (third-party signals), and LinkedIn posts (recent owned-channel narrative).
Fetch business events for the resolved set, scoped to the last 90 days. Keep events that map to: product launches, leadership changes at vice president and above, funding rounds, M&A, office openings or closures, and material hiring shifts. Discard the rest. Event-attribution sanity check: before including any event row in the brief, verify the event title or snippet actually mentions the target company. Industry-wide articles can be cross-attributed to multiple competitors' identities in the ingestion pipeline.
Surface the executive team per competitor: size the audience first (count of C-level and VP roles per company), then sample a small slice for preview. Run a count before any larger pull so you can frame the sample honestly.
If the user asks for outreach-ready contacts on a specific exec subset, enrich those prospects with contacts and profiles. Default to email-only contacts: it costs less than email + phone, and phone numbers are only needed for SDR dialer flows. Use presence-of-email as the contact-quality proxy when filtering.
Classify ICP overlap per competitor (High / Partial / None) using firmographics versus the user's stated ICP. If no ICP was stated, mark overlap as "Not assessed" rather than guessing.
Address each named hypothesis explicitly as confirmed, contradicted, or unresolved, citing the specific enrichment or event row that drove the call.
Final delivery: write the working table out only as the last step (exec roster + key firmographic columns); keep all intermediate previews on screen.
Output Format
Show full SKILL.md (335 more words)Show less
Executive Comparison
- Purpose statement (one sentence) and hypothesis check (confirmed / contradicted / unresolved per item).
- Side-by-side table across all resolved competitors with columns: company name, domain, HQ, headcount, size bucket, revenue bucket, founded year, public/private, CEO or top exec, last funding event, last strategic move (dated), competitive products noted.
- 90-day move highlights: dated bullets per competitor, source-tagged to the enrichment that surfaced them (strategic insights, funding, business events).
- Data quality flags: unresolved names, empty enrichments, stale records, contradictions between enrichments.
Per-Competitor Section
Repeat per resolved competitor:
- Snapshot: HQ, headcount, revenue range, founded, public/private, primary tech-stack signals.
- Recent moves (last 90 days): dated bullets, each tagged with the enrichment source.
- Strategic positioning: pulled verbatim from strategic-insights and competitive-landscape where present. Do not paraphrase.
- Workforce trajectory: direction and magnitude.
- Challenges: bullets, dated where available.
- Funding and M&A: latest round, investors, any acquisitions or divestitures.
- Exec roster preview: sampled rows with full name, job title, LinkedIn URL, professional email (if enriched). Frame as "Sample preview (5 of
<total>matches)." If totals were not captured, use "Sample preview (5 rows). Many more match these filters." - ICP overlap: High / Partial / None / Not assessed, with the firmographic evidence in one line.
- Three discovery questions rooted in specific surfaced facts (not generic).
Limitations
- Strategic-insights and challenges are gated on SEC 10-K filings: populated for public competitors, null for private ones, and can be 12-18 months stale even when present. Use NAICS + LinkedIn category + technographics overlap for private targets.
- No native sort by employee count, revenue, or contact data quality. Contact quality is approximated by presence-of-email.
- Employee count and revenue are bucketed, not raw integers. Side-by-side comparisons use bucket labels.
- No similar-companies tool. For adjacent rivals beyond named inputs, approximate by resolving competitive-landscape outputs and re-enriching them, and flag the approach explicitly.
- No metropolitan-area taxonomy. Geographic comparisons use country (ISO-2) or region (ISO 3166-2).
- Only public/private as a company-type filter; finer ownership structure is not available.
- Sentiment from G2, TrustRadius, or earnings transcripts is not in the data surface and is out of scope.
© 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/competitor-research of explorium-ai/gtm-skills.
Open the folder on GitHubat commit f0efa6b
Compare with similar skills
Competitor 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 |
|---|---|---|---|---|---|---|
| Competitor Research this skillexplorium-ai/gtm-skills | 175 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Suede Competitor ProfilingJasonColapietro/suede-creator-skills | 127 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Competitor FinderOthmane-Khadri/YALC-the-GTM-operating-system | 317 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Competitive Intelborghei/Claude-Skills | 886 | — | ~4.5k | Automated safety check: Pass | MIT | |
| Competitor Alternativesborghei/Claude-Skills | 886 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Marketing Strategymanojbajaj95/claude-gtm-plugin | 105 | — | ~2.8k | Automated safety check: Pass | MIT |
Similar skills
Competitor Finder
Othmane-Khadri/YALC-the-GTM-operating-system
Conduct competitive analysis to identify direct and indirect competitors, map their positioning, surface strengths and weaknesses, and generate differentiation angles for outbound messaging.
Competitive Intel
borghei/Claude-Skills
Systematic competitor tracking that feeds positioning, battlecards, and roadmap decisions.
Competitor Alternatives
borghei/Claude-Skills
Create competitor comparison and alternative pages for SEO and sales enablement.
Marketing Strategy
manojbajaj95/claude-gtm-plugin
Product marketing strategy, positioning, and competitive intelligence for B2B SaaS.
Competitive Intel
TheCraigHewitt/skills
When the user wants to build competitive battle cards, positioning statements, trap-setting questions, or displacement strategies for sales calls.
More from explorium-ai/gtm-skills
All 17 skills in this repoBrowser Extension Builder
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…
Lead Gen Tool Builder
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…
Clean Data
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.
Abm Diy Campaign
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.
Account Contact Shortlist
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.
Account Fit Rank
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.
Related
Categories
Questions about Competitor Research
What does Competitor Research do?
Competitive intelligence skill for Claude Code and Codex: build a fact-led competitive brief or side-by-side battlecard on one or more rival companies using real-time firmographics, funding…. Competitor Research is an agent skill from explorium-ai/gtm-skills. Competitive intelligence skill for Claude Code and Codex: build a fact-led competitive brief or side-by-side battlecard on one or more rival companies using real-time firmographics, funding, headcount, exec roster, hiring shifts, tech stack, and recent strategic moves.
When should I use Competitor Research?
Competitor Research fits situations like: sales battlecards; GTM competitive analysis; market intelligence; competitor analysis.
How do I install Competitor Research in Claude Code?
Run `npx skills add explorium-ai/gtm-skills --skill competitor-research -a claude-code`. Or copy the skill folder (skills/competitor-research in explorium-ai/gtm-skills) into .claude/skills/competitor-research in your project. Claude Code loads it when a task matches its description.
How do I install Competitor Research in Codex?
Run `npx skills add explorium-ai/gtm-skills --skill competitor-research -a codex`. Or copy the skill folder (skills/competitor-research in explorium-ai/gtm-skills) into .agents/skills/competitor-research in your project. Codex loads it when a task matches its description.
Can I use Competitor Research 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 competitor-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/competitor-research, .gemini/skills/competitor-research, .github/skills/competitor-research and .opencode/skills/competitor-research in your project.
What does Competitor Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Competitor Research is instructions for the agent only.
Does Competitor Research 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 Competitor Research 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 Competitor Research use?
Competitor Research 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 Competitor Research use?
About 1.6k tokens (SKILL.md is roughly 6.4k 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 Competitor Research?
Skills that share tags, products or a category with Competitor Research: Suede Competitor Profiling (JasonColapietro/suede-creator-skills, 127 stars), Competitor Finder (Othmane-Khadri/YALC-the-GTM-operating-system, 317 stars), Competitive Intel (borghei/Claude-Skills, 886 stars) and Competitor Alternatives (borghei/Claude-Skills, 886 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Competitor Research?
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.