Competitor Analysis
social-media-skills/skills
Competitor analysis for social media — public-data competitive reconnaissance to find the gap a brand can own.
Scrapes case studies, testimonials, and solutions pages from a target website to build structured ICP documentation.
$ npx skills add growthack88/growth-marketing-os --skill icp-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install growthack88/growth-marketing-os icp-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/growthack88/growth-marketing-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/community/icp-research .claude/skills/icp-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 "icp-research" agent skill from https://github.com/growthack88/growth-marketing-os/tree/main/skills/community/icp-research into .claude/skills/icp-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-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/growthack88/growth-marketing-os/tree/main/skills/community/icp-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 growthack88/growth-marketing-os --skill icp-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install growthack88/growth-marketing-os icp-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/growthack88/growth-marketing-os.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/community/icp-research .agents/skills/icp-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 "icp-research" agent skill from https://github.com/growthack88/growth-marketing-os/tree/main/skills/community/icp-research into .agents/skills/icp-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-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 growthack88/growth-marketing-os --skill icp-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install growthack88/growth-marketing-os icp-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/growthack88/growth-marketing-os.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/community/icp-research .cursor/skills/icp-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 "icp-research" agent skill from https://github.com/growthack88/growth-marketing-os/tree/main/skills/community/icp-research into .cursor/skills/icp-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-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/growthack88/growth-marketing-os.git --path skills/community/icp-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 growthack88/growth-marketing-os --skill icp-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install growthack88/growth-marketing-os icp-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/growthack88/growth-marketing-os.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/community/icp-research .gemini/skills/icp-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 "icp-research" agent skill from https://github.com/growthack88/growth-marketing-os/tree/main/skills/community/icp-research into .gemini/skills/icp-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-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 growthack88/growth-marketing-os icp-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 growthack88/growth-marketing-os --skill icp-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/growthack88/growth-marketing-os.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/community/icp-research .github/skills/icp-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 "icp-research" agent skill from https://github.com/growthack88/growth-marketing-os/tree/main/skills/community/icp-research into .github/skills/icp-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-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 growthack88/growth-marketing-os --skill icp-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 growthack88/growth-marketing-os icp-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/growthack88/growth-marketing-os.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/community/icp-research .opencode/skills/icp-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 "icp-research" agent skill from https://github.com/growthack88/growth-marketing-os/tree/main/skills/community/icp-research into .opencode/skills/icp-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icp-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.
icp-researchScrapes case studies, testimonials, and solutions pages from a target website to build structured ICP documentation.
Icp Research is an agent skill from growthack88/growth-marketing-os. Scrapes case studies, testimonials, and solutions pages from a target website to build structured ICP documentation. Produces TAM analysis, firmographic segments, champion and economic buyer personas, use case mapping, customer proof points, and voice-of-customer synthesis with normalized attributes. Requires website URL as primary input. Upstream: recommended company-context. Downstream: feeds positioning, product-messaging, landing-page-copy, content-strategy, and outreach-emails.
Its SKILL.md is about 4.4k 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 Market research, Market sizing and Web scraping. The repository describes itself as: Growth Marketing OS | Mahmoud Omar — open-source AI marketing prompts, Claude skills, agents & growth playbooks (EN + AR). The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c6b55c7. 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.
Links to these hosts (documentation or services it may open):
github.comFrom 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.
Icp Research loads about 4.4k tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 1,934 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 growthack88/growth-marketing-os at commit c6b55c7, republished under its MIT licence (© growthack88). 1,934 words, ~4,385 tokens.
.claude/skills/icp-research/SKILL.md (or your agent's skills folder).<!--
COMMUNITY SKILL — included under its original MIT license.
Source: https://github.com/matteotitta/genesys-skills by Matteo Titta (MIT).
License text: ../LICENSE-genesys-skills.txt
Curated into Growth Marketing OS by Mahmoud Omar (mahmoudomar.com) — this file
is NOT original work by the repo author; see /skills/community/README.md.
-->
Generate ideal customer profiles for B2B SaaS clients through systematic research and structured output.
The final ICP report follows this numbered section order:
| Section | Purpose |
|---|---|
| Header | Research date, website, category, confidence score (1-5) |
| 1. Executive summary | High-level synthesis of findings and strategic recommendations |
| 2. TAM analysis | Market sizing with targeting strategy per layer (TAM/SAM/SOM/ICP) |
| 3. Firmographics analysis | Geographic, industry, company segment patterns, and technographics |
| 4. Roles and personas | Core use case, Champion deep-dive, Economic Buyer deep-dive, buying journey |
| 5. Negative ICP | Who is NOT a fit, disqualification criteria, and red flags |
| 6. Customer proof points | Named customers, outcomes, and evidence with URLs |
| 7. Voice of customer synthesis | Language patterns, pain points, and outcome terminology |
| 8. ICP segment definitions | Scoring matrix, in-market signals, segment deep-dives |
| 9. Intent signals and buying triggers | Observable signals indicating purchase readiness |
| 10. Recommendations | Prioritization and messaging by segment |
| 11. Data gaps | Missing information and follow-up suggestions |
| 12. Source appendix | All sources with access dates, URLs, and confidence levels |
Confidence score calculation: Count High/Medium/Low data points. Score 5 if >70% High, Score 4 if >50% High, Score 3 if mixed, Score 2 if >50% Low, Score 1 if >70% Low.
Research produces structured outputs across multiple dimensions. See references/dimension-schemas.md for complete field definitions.
Market opportunity sizing with explicit methodology, assumptions, and targeting strategy.
| Field | Description |
|---|---|
| TAM summary | Rich paragraph explaining total addressable market with methodology |
| TAM calculation table | Metric, value, source/basis, and targeting strategy for each layer |
| ICP row | Below SOM: highest priority segment based on research findings |
| Assumptions | Documented assumptions underlying each estimate |
TAM table structure:
| Metric | Value | Source/Basis | Targeting strategy |
|---|---|---|---|
| TAM | $XB | [Methodology] | Long-term market awareness and category leadership |
| SAM | $XM | [Qualification] | Segment-specific campaigns and channel strategy |
| SOM | $XM | [Capture estimate] | Direct sales and targeted ABM |
| ICP | $XM | [Research findings] | Highest-priority accounts for immediate focus |
Company attributes that define ideal customers with segment deep-dives.
| Field | Description |
|---|---|
| Geography summary | Paragraph with regional patterns and evidence |
| Geography table | Regions sorted by concentration, with URL + date evidence |
| Industry summary | Paragraph explaining vertical patterns |
| Industry table | Industries sorted by presence, with URL + date evidence |
| Company segments summary | Paragraph describing size/stage patterns |
| Segments table | Enterprise → Mid-market → SMB → Startup |
| Segment deep-dives | For each segment: Priorities, ICP-fit, Budget & sales cycle, Unique approach, Proof points |
| Technographics | Required tools, integrations, and tech stack indicators |
| Adjacent stack | Common tools and integrations |
Company segment deep-dive structure:
For each segment (Enterprise, Mid-market, SMB), include:
Required technology prerequisites and common stack patterns. This section identifies tools that indicate fit or readiness.
| Category | Purpose |
|---|---|
| CRM | Customer relationship management (Salesforce, HubSpot, Pipedrive) |
| E-commerce | Commerce platforms (Shopify, BigCommerce, WooCommerce) |
| Marketing automation | Email and automation (Klaviyo, Mailchimp, Braze, Marketo) |
| CDP | Customer data platforms (Segment, mParticle, Rudderstack) |
| Analytics | Product and web analytics (Amplitude, Mixpanel, Google Analytics, Posthog) |
| Cloud | Infrastructure providers (AWS, Azure, GCP, Vercel) |
| Data warehouse | Data storage (Snowflake, BigQuery, Redshift, Databricks) |
| ERP | Enterprise resource planning (SAP, NetSuite, Oracle) |
| Communication | Team communication (Slack, Microsoft Teams) |
| Project management | Work management (Jira, Asana, Monday, Linear) |
Technographics table structure:
| Category | Required/Preferred | Common tools | Why it matters | Evidence |
|---|---|---|---|---|
| [Category] | Required | [Tool names] | [Product dependency or integration] | [Source] ([URL], [Date]) |
| [Category] | Preferred | [Tool names] | [Better fit or faster time-to-value] | [Source] ([URL], [Date]) |
Who buys and uses the product, with explicit Champion and Economic Buyer deep-dives.
| Field | Description |
|---|---|
| Persona overview | Rich paragraph summarizing buying committee structure |
| Personas table | Sorted: Champion → Economic Buyer → User → Influencer |
| Core use case | Business process definition with steps, scenarios, alternatives, drivers, outcomes |
| Champion deep-dive | Explicit template for the person who drives evaluation |
| Economic Buyer deep-dive | Explicit template for the person who controls budget |
| User deep-dive(s) | Additional personas who use the product daily |
| Use cases by role | Champion first, then by seniority |
| Alternatives mentioned | Competitors and substitutes with URLs |
| Buying journey | Champion → Economic Buyer → User columns |
Core use case structure:
Champion deep-dive structure (12 fields):
The Champion is the person who feels the pain daily, drives the evaluation, and advocates internally for the solution.
Economic Buyer deep-dive structure (13 fields):
The Economic Buyer is the person who controls budget and makes the final purchasing decision.
Identifying who is NOT a fit helps sales disqualify quickly and avoid bad-fit deals.
| Field | Description |
|---|---|
| Disqualification criteria | Table of attributes that indicate poor fit |
| Red flags | Warning signs from churned or unsuccessful customers |
| Objection patterns | Objections that signal poor fit vs. legitimate concerns |
Observable events or behaviors indicating a company or persona is more likely to buy now.
| Field | Description |
|---|---|
| Overview | Paragraph explaining signal detection strategy |
| Company-level signals | Events at the organization level |
| Persona-level signals | Behaviors from individual buyers |
| Signal sources | Where to detect each signal |
Apply consistent sorting across all tables:
| Dimension | Sort order |
|---|---|
| Decision role | Champion → Economic Buyer → User → Influencer |
| Company size | Enterprise → Mid-market → SMB → Startup |
| Frequency | Very high → High → Medium → Low |
| Confidence | High → Medium → Low |
| Customer concentration | High → Medium → Low |
| Priority | 1 → 2 → 3 → 4 |
| Industry presence | Strong → Moderate → Emerging |
Every section must include contextual paragraphs, not just tables. All evidence must include URL and access date.
| Section | Required prose |
|---|---|
| Each macro section (1-12) | Opening paragraph (3-5 sentences) summarizing findings |
| Each industry vertical | 2-3 sentences explaining why this industry fits and evidence |
| Each company segment | Deep-dive with Priorities, ICP-fit, Budget & sales cycle, Unique approach, Proof points |
| Champion persona | Full deep-dive with all 12 fields including Channels & influences |
| Economic Buyer persona | Full deep-dive with all 13 fields including Channels & influences |
| Core use case | Full definition with steps, scenarios, alternatives, drivers, outcomes |
| Each ICP segment | Deep-dive with Priorities, ICP-fit, Budget & sales cycle, Unique approach, Proof points |
| Negative ICP | Disqualification criteria, red flags, and objection patterns |
| Intent signals | Company-level and persona-level signals with detection sources |
| Data gaps | Paragraph explaining impact of missing data and mitigation |
Discover key pages
Fetch: [domain]/customers OR /case-studies OR /success-stories
Fetch: [domain]/solutions OR /use-cases OR /industries
Fetch: [domain]/pricing
Fetch: [domain]/integrations OR /partners
Search: site:[domain] case study testimonial
Search: site:g2.com "[company]" reviews
Search: site:linkedin.com "[company]" hiring [relevant role]Extract raw data per source (record URL and date for each):
Normalize attributes
| Attribute | Normalization rules |
|---|---|
| Geography | Map to: US, North America, EMEA, APAC, LATAM, Global |
| Industry | Use standard verticals: SaaS, E-commerce, Finance, Healthcare, etc. |
| Company size | Revenue bands: <$1M, $1-10M, $10-50M, $50-100M, $100M+ |
| Team size | Employee bands: 1-10, 11-50, 51-200, 201-500, 501-1000, 1000+ |
| Tech stack | Category + tool name: CRM (Salesforce), CDP (Segment) |
For each segment (by industry x company size):
Generate numbered sections following the report structure above.
Apply sorting rules to all tables (Champion first for personas).
Include rich descriptions with URLs and dates for all evidence.
Include deep-dives for company segments, personas (Champion and Economic Buyer explicitly), and ICP segments.
| Input | Purpose |
|---|---|
| Case studies URL | Direct link to case studies page |
| Testimonials URL | Direct link to testimonials |
| Market context | Category, competitors, GTM approach |
| Sales call notes | Win/loss context, objections |
| Existing ICP docs | Validate or expand current understanding |
| Confidence | Definition |
|---|---|
| High | Direct from official source, verifiable |
| Medium | Third-party source, multiple signals |
| Low | Single indirect source, inferred |
| File | Purpose |
|---|---|
references/dimension-schemas.md | Complete field definitions for all dimensions |
references/icp-output-template.md | Full report template with numbered sections |
references/search-patterns.md | Detailed search queries per data type |
references/examples/example-strapi.md | Worked example: Strapi (headless CMS) |
© growthack88, 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/community/icp-research of growthack88/growth-marketing-os.
Open the folder on GitHubat commit c6b55c7
Icp 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 |
|---|---|---|---|---|---|---|
| Icp Research this skillgrowthack88/growth-marketing-os | 116 | — | ~4.4k | Automated safety check: Pass | MIT | |
| Competitor Analysissocial-media-skills/skills | 134 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Marketing Campaignaffaan-m/ECC | 277k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Copynicepkg/ai-workflow | 285 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Startup Designferdinandobons/startup-skill | 1.2k | — | ~8.1k | Automated safety check: Pass | MIT | |
| Yao Positioning Skillyaojingang/yao-open-skills | 1.3k | — | ~805 | Automated safety check: Pass | MIT |
social-media-skills/skills
Competitor analysis for social media — public-data competitive reconnaissance to find the gap a brand can own.
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nicepkg/ai-workflow
Professional copywriter for SaaS and startups. An agent skill from nicepkg/ai-workflow.
ferdinandobons/startup-skill
Design, validate, and plan a startup from scratch. An agent skill from ferdinandobons/startup-skill.
yaojingang/yao-open-skills
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Categories
Scrapes case studies, testimonials, and solutions pages from a target website to build structured ICP documentation. Icp Research is an agent skill from growthack88/growth-marketing-os. Scrapes case studies, testimonials, and solutions pages from a target website to build structured ICP documentation.
Icp Research fits situations like: tasks that involve Market research; tasks that involve Market sizing; tasks that involve Web scraping.
Run `npx skills add growthack88/growth-marketing-os --skill icp-research -a claude-code`. Or copy the skill folder (skills/community/icp-research in growthack88/growth-marketing-os) into .claude/skills/icp-research in your project. Claude Code loads it when a task matches its description.
Run `npx skills add growthack88/growth-marketing-os --skill icp-research -a codex`. Or copy the skill folder (skills/community/icp-research in growthack88/growth-marketing-os) into .agents/skills/icp-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 growthack88/growth-marketing-os --skill icp-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/icp-research, .gemini/skills/icp-research, .github/skills/icp-research and .opencode/skills/icp-research in your project.
SKILL.md names no scripts, command-line tools or credentials: Icp Research is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: github.com. 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.
Icp 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 4.4k tokens (SKILL.md is roughly 18k 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 Icp Research: Competitor Analysis (social-media-skills/skills, 134 stars), Marketing Campaign (affaan-m/ECC, 277k stars), Copy (nicepkg/ai-workflow, 285 stars) and Startup Design (ferdinandobons/startup-skill, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
growthack88 (a GitHub user) maintains it in growthack88/growth-marketing-os, which has 116 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 2, 2026.
Source: growthack88/growth-marketing-os on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.