matteotitta
Registry indexed
competitor-research
Researches one B2B SaaS competitor across 13 dimensions (company, product, ICP, pricing, reviews, content, launches, search and AI visibility, tech stack, hiring, go-to-market, social, paid ads) and writes a sourced dossier with an executive summary, a threat level, strengths and
Overview
Researches one B2B SaaS competitor across 13 dimensions (company, product, ICP, pricing, reviews, content, launches, search and AI visibility, tech stack, hiring, go-to-market, social, paid ads) and writes a sourced dossier with an executive summary, a threat level, strengths and weaknesses, and a data gaps section. Run it once per competitor, then compare. Triggers: "competitor analysis", "competitor research on", "what is [competitor] doing", "compare us to", "competitive landscape", "battlecard prep". Run after /company-context and /icp-research. Not for researching your own company (use /company-context).
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Competitor research
Build a dossier on one competitor that a marketer, a seller and a founder can each act on. The rule that governs everything: no data point without a source. Every claim carries a URL and an access date, or it's marked [Not available].
When to use it
- Building the context folder, after you know who your customer is.
- Before positioning, so you know what buyers compare you to.
- When a competitor shows up in deals more often, or launches something.
Don't use it for your own company (/company-context) or a single factual question ("what does X charge?"), which you can answer directly.
Inputs
Required: the competitor's name and website. If the name is ambiguous, confirm before you start.
Recommended: context/company/ and context/icp/ (so you can judge the threat against your own buyer), any existing dossier to refresh, and the questions the user cares about most (pricing, outbound, a feature).
Paths. Write to context/competitors/MMYY-<competitor-slug>.md. With two or more dossiers done, add context/competitors/MMYY-landscape.md. Agency or consultant? Swap context/ for clients/<client>/context/ throughout.
Tools. Web search and page fetching cover most of it. Exa helps find similar companies and clean page text; Firecrawl helps with pricing and comparison pages. Paid SEO and tech-stack tools are optional: if you don't have one, say so in that dimension rather than guessing. On a large site, list the pages first and only read the ones that matter (product, pricing, positioning, customers).
The 13 dimensions
- Company: founding, funding, headcount, leadership.
- Product: core offer, key features, what changed recently.
- ICP: who they sell to, judged from their case studies and logos.
- Pricing: model, tiers, entry price, what's gated behind sales.
- Reviews: themes in G2, Capterra or Trustpilot praise and complaints, with counts.
- Content: what they publish, how often, which topics.
- Launches: what they've shipped in the last 12 months.
- Search and AI visibility: the topics they rank or get cited for.
- Tech stack: tools visible on the site, if you can see them.
- Hiring: open roles by team, which signal where they're investing.
- Go-to-market: self-serve, sales-led or both; channels; partnerships.
- LinkedIn and social: founder and company activity, recurring themes.
- Paid advertising: ads visible in public ad libraries, angles they test.
Steps
- Confirm scope. Name, URL, and what the user wants to learn. Produces: a one-line brief.
- Research each dimension in the order above. Note the source and date for each finding. If a dimension needs a tool you don't have, write
[Not available: needs X]and move on. - Tag confidence.
[VERIFIED],[INFERRED],[ESTIMATED],[UNAVAILABLE]. Aim for at least half verified. - Assess strengths and weaknesses against your ICP, not in the abstract.
- Set a threat level: primary (same buyer, same problem, often in deals), enterprise tier (same problem, bigger buyer), direct ICP (same buyer, adjacent problem), watch (early or stealth), low, or defunct. Explain the call in two sentences.
- Write the executive summary last, in 2 to 3 short paragraphs.
- List data gaps with the action that would fill each one.
- If you have 2 or more dossiers, write a landscape file: threat table, feature comparison, where each competitor is weak, and 3 to 5 recommendations. Cite the dossiers rather than repeating them.
- Hand off to
/positioning, which uses the competitor set as its list of alternatives.
Output shape
Title the file # Competitor research: [Name]. Then: a recent-changes line (on a refresh), executive summary, threat level, a section per dimension with inline (Source: X) notes, strengths and weaknesses, data gaps, and a sources table at the end with URL, access date and confidence per dimension.
What good looks like
- All 13 dimensions present, each either filled or marked with why it's empty.
- Major claims (funding, size, pricing) have more than one source.
- Review themes come with counts, not adjectives.
- The threat level would make sense to your sales team.
- A refresh updates the existing file and notes what changed, rather than creating a duplicate.
Mistakes to avoid
- Copying their marketing claims as fact. Note the claim, then the evidence.
- Guessing pricing that's behind "contact sales".
- Reporting old news as current. Date every finding.
- A weakness list that's really a wish list ("their UX is bad") with no evidence.
- Restating every dossier inside the landscape file.
Chain
Step 3 of the suggested chain: /company-context → /icp-research → competitor-research → /win-loss → /expert-pov → /tov-guidelines → /brand-kit → /positioning → /messaging → /funnel-strategy → /goals.
File metadata
name: competitor-research description: >- Researches one B2B SaaS competitor across 13 dimensions (company, product, ICP, pricing, reviews, content, launches, search and AI visibility, tech stack, hiring, go-to-market, social, paid ads) and writes a sourced dossier with an executive summary, a threat level, strengths and weaknesses, and a data gaps section. Run it once per competitor, then compare. Triggers: "competitor analysis", "competitor research on", "what is [competitor] doing", "compare us to", "competitive landscape", "battlecard prep". Run after /company-context and /icp-research. Not for researching your own company (use /company-context). version: '1.0.0' license: MIT
View original text
---
name: competitor-research
description: >-
Researches one B2B SaaS competitor across 13 dimensions (company, product, ICP, pricing, reviews,
content, launches, search and AI visibility, tech stack, hiring, go-to-market, social, paid ads) and
writes a sourced dossier with an executive summary, a threat level, strengths and weaknesses, and a
data gaps section. Run it once per competitor, then compare. Triggers: "competitor analysis",
"competitor research on", "what is [competitor] doing", "compare us to", "competitive landscape",
"battlecard prep". Run after /company-context and /icp-research. Not for researching your own company
(use /company-context).
version: '1.0.0'
license: MIT
---
# Competitor research
Build a dossier on one competitor that a marketer, a seller and a founder can each act on. The rule that governs everything: **no data point without a source.** Every claim carries a URL and an access date, or it's marked `[Not available]`.
## When to use it
- Building the context folder, after you know who your customer is.
- Before positioning, so you know what buyers compare you to.
- When a competitor shows up in deals more often, or launches something.
Don't use it for your own company (`/company-context`) or a single factual question ("what does X charge?"), which you can answer directly.
## Inputs
**Required:** the competitor's name and website. If the name is ambiguous, confirm before you start.
**Recommended:** `context/company/` and `context/icp/` (so you can judge the threat against your own buyer), any existing dossier to refresh, and the questions the user cares about most (pricing, outbound, a feature).
**Paths.** Write to `context/competitors/MMYY-<competitor-slug>.md`. With two or more dossiers done, add `context/competitors/MMYY-landscape.md`. Agency or consultant? Swap `context/` for `clients/<client>/context/` throughout.
**Tools.** Web search and page fetching cover most of it. Exa helps find similar companies and clean page text; Firecrawl helps with pricing and comparison pages. Paid SEO and tech-stack tools are optional: if you don't have one, say so in that dimension rather than guessing. On a large site, list the pages first and only read the ones that matter (product, pricing, positioning, customers).
## The 13 dimensions
1. **Company:** founding, funding, headcount, leadership.
2. **Product:** core offer, key features, what changed recently.
3. **ICP:** who they sell to, judged from their case studies and logos.
4. **Pricing:** model, tiers, entry price, what's gated behind sales.
5. **Reviews:** themes in G2, Capterra or Trustpilot praise and complaints, with counts.
6. **Content:** what they publish, how often, which topics.
7. **Launches:** what they've shipped in the last 12 months.
8. **Search and AI visibility:** the topics they rank or get cited for.
9. **Tech stack:** tools visible on the site, if you can see them.
10. **Hiring:** open roles by team, which signal where they're investing.
11. **Go-to-market:** self-serve, sales-led or both; channels; partnerships.
12. **LinkedIn and social:** founder and company activity, recurring themes.
13. **Paid advertising:** ads visible in public ad libraries, angles they test.
## Steps
1. **Confirm scope.** Name, URL, and what the user wants to learn. *Produces:* a one-line brief.
2. **Research each dimension** in the order above. Note the source and date for each finding. If a dimension needs a tool you don't have, write `[Not available: needs X]` and move on.
3. **Tag confidence.** `[VERIFIED]`, `[INFERRED]`, `[ESTIMATED]`, `[UNAVAILABLE]`. Aim for at least half verified.
4. **Assess strengths and weaknesses** against your ICP, not in the abstract.
5. **Set a threat level:** primary (same buyer, same problem, often in deals), enterprise tier (same problem, bigger buyer), direct ICP (same buyer, adjacent problem), watch (early or stealth), low, or defunct. Explain the call in two sentences.
6. **Write the executive summary** last, in 2 to 3 short paragraphs.
7. **List data gaps** with the action that would fill each one.
8. **If you have 2 or more dossiers,** write a landscape file: threat table, feature comparison, where each competitor is weak, and 3 to 5 recommendations. Cite the dossiers rather than repeating them.
9. **Hand off** to `/positioning`, which uses the competitor set as its list of alternatives.
## Output shape
Title the file `# Competitor research: [Name]`. Then: a recent-changes line (on a refresh), executive summary, threat level, a section per dimension with inline `(Source: X)` notes, strengths and weaknesses, data gaps, and a sources table at the end with URL, access date and confidence per dimension.
## What good looks like
- All 13 dimensions present, each either filled or marked with why it's empty.
- Major claims (funding, size, pricing) have more than one source.
- Review themes come with counts, not adjectives.
- The threat level would make sense to your sales team.
- A refresh updates the existing file and notes what changed, rather than creating a duplicate.
## Mistakes to avoid
- Copying their marketing claims as fact. Note the claim, then the evidence.
- Guessing pricing that's behind "contact sales".
- Reporting old news as current. Date every finding.
- A weakness list that's really a wish list ("their UX is bad") with no evidence.
- Restating every dossier inside the landscape file.
## Chain
Step 3 of the suggested chain: `/company-context` → `/icp-research` → **competitor-research** → `/win-loss` → `/expert-pov` → `/tov-guidelines` → `/brand-kit` → `/positioning` → `/messaging` → `/funnel-strategy` → `/goals`.
Review the source
Price & running costs
- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- MIT
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- AI review approval is missing
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- GitHub adoption: 63 GitHub stars
- Stars/forks activity: 63 stars, 19 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- matteotitta/repo-structure-in-house
- License
- MIT
- Version
- 1.0.0
- Last GitHub push
- Oct 14, 2026
- Registry updated
- Oct 14, 2026
- Instruction path
- .claude/skills/competitor-research/SKILL.md @ 4016985f52ad
Version reported in registry metadata; check source releases before relying on it.
Quality
59/100
Promising
Trust
68/100
Sandbox only
Audit
77/100
Risky
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- AI review approval is missing
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- GitHub adoption: 63 GitHub stars
- Stars/forks activity: 63 stars, 19 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"agent_contract": {
"task_input": "Use competitor-research in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 76/100 Strong shortlist",
"Audit: 77/100 Risky",
"Safety: 61/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "matteotitta-competitor-research (competitor-research)",
"install_command": "npx skills add matteotitta/repo-structure-in-house --skill competitor-research",
"risk_summary": "Risky; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "matteotitta-competitor-research",
"task": "Use competitor-research in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/matteotitta-competitor-research",
"api": "https://www.openagentskill.com/api/agent/skills/matteotitta-competitor-research",
"audit": "https://www.openagentskill.com/skills/matteotitta-competitor-research/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=matteotitta-competitor-research&task=Use%20competitor-research%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20competitor-research%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20competitor-research%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/matteotitta-competitor-research/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/matteotitta-competitor-research"
}
}For the creator
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- Creator
- matteotitta
- Indexed by
- OpenAgentSkill community index
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