Reddit Research
lignertys/reddit-research-skills
Researches what people say on Reddit through semantic search on reddapi.dev: pain points, product validation, competitor research and subreddit trends.
A skill your agent uses when the user wants to research competitors, plan customer interviews, conduct market research, or understand their competitive landscape.
$ npx skills add GTM-Strategist/gtm-strategist-skills --skill collecting-intelligence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GTM-Strategist/gtm-strategist-skills collecting-intelligence --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/GTM-Strategist/gtm-strategist-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/collecting-intelligence .claude/skills/collecting-intelligence && 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 "collecting-intelligence" agent skill from https://github.com/GTM-Strategist/gtm-strategist-skills/tree/master/.claude/skills/collecting-intelligence into .claude/skills/collecting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collecting-intelligence", 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/GTM-Strategist/gtm-strategist-skills/tree/master/.claude/skills/collecting-intelligenceType 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 GTM-Strategist/gtm-strategist-skills --skill collecting-intelligence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GTM-Strategist/gtm-strategist-skills collecting-intelligence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GTM-Strategist/gtm-strategist-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/collecting-intelligence .agents/skills/collecting-intelligence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "collecting-intelligence" agent skill from https://github.com/GTM-Strategist/gtm-strategist-skills/tree/master/.claude/skills/collecting-intelligence into .agents/skills/collecting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collecting-intelligence", 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 GTM-Strategist/gtm-strategist-skills --skill collecting-intelligence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GTM-Strategist/gtm-strategist-skills collecting-intelligence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GTM-Strategist/gtm-strategist-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/collecting-intelligence .cursor/skills/collecting-intelligence && 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 "collecting-intelligence" agent skill from https://github.com/GTM-Strategist/gtm-strategist-skills/tree/master/.claude/skills/collecting-intelligence into .cursor/skills/collecting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collecting-intelligence", 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/GTM-Strategist/gtm-strategist-skills.git --path .claude/skills/collecting-intelligence--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 GTM-Strategist/gtm-strategist-skills --skill collecting-intelligence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GTM-Strategist/gtm-strategist-skills collecting-intelligence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GTM-Strategist/gtm-strategist-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/collecting-intelligence .gemini/skills/collecting-intelligence && 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 "collecting-intelligence" agent skill from https://github.com/GTM-Strategist/gtm-strategist-skills/tree/master/.claude/skills/collecting-intelligence into .gemini/skills/collecting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collecting-intelligence", 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 GTM-Strategist/gtm-strategist-skills collecting-intelligenceInstalls 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 GTM-Strategist/gtm-strategist-skills --skill collecting-intelligence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GTM-Strategist/gtm-strategist-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/collecting-intelligence .github/skills/collecting-intelligence && 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 "collecting-intelligence" agent skill from https://github.com/GTM-Strategist/gtm-strategist-skills/tree/master/.claude/skills/collecting-intelligence into .github/skills/collecting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collecting-intelligence", 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 GTM-Strategist/gtm-strategist-skills --skill collecting-intelligence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GTM-Strategist/gtm-strategist-skills collecting-intelligence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GTM-Strategist/gtm-strategist-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/collecting-intelligence .opencode/skills/collecting-intelligence && 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 "collecting-intelligence" agent skill from https://github.com/GTM-Strategist/gtm-strategist-skills/tree/master/.claude/skills/collecting-intelligence into .opencode/skills/collecting-intelligence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "collecting-intelligence", 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.
collecting-intelligenceA skill your agent uses when the user wants to research competitors, plan customer interviews, conduct market research, or understand their competitive landscape.
Collecting Intelligence is an agent skill from GTM-Strategist/gtm-strategist-skills. Use this skill when the user wants to research competitors, plan customer interviews, conduct market research, or understand their competitive landscape. Phase 2 of 12: interactive guided workflow for beachhead segment identification, Market-Problem Map, customer discovery interviews, surveys, competitor analysis, competition mood boards, competitor ad monitoring, and competitive experience teardowns.
Its SKILL.md is about 4.9k 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 User research, Competitor analysis and Market research. The repository describes itself as: Your AI go-to-market co-pilot. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a5ead26. 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):
gtmstrategist.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.
Collecting Intelligence loads about 4.9k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 2,473 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 GTM-Strategist/gtm-strategist-skills at commit a5ead26, republished under its MIT licence (© GTM-Strategist). 2,473 words, ~4,905 tokens.
.claude/skills/collecting-intelligence/SKILL.md (or your agent's skills folder).You are executing Phase 2 of the GTM Strategist methodology. This phase transforms the user's assumptions from Phase 1 into evidence-backed market intelligence through structured customer discovery and competitive research.
Read my-gtm-context.md at the project root. If critical fields (Product/Service, Target Market, Problem & Value) are empty, ask the user to fill them in before proceeding.
Check outputs/ for Phase 1 deliverables. This phase builds directly on:
outputs/01-ope-canvas.md (Opportunity, Product, Execution canvas)outputs/01-swot-analysis.mdoutputs/01-value-proposition.mdoutputs/01-90-day-plan.mdIf Phase 1 outputs exist, reference them throughout. If they don't exist, note that the user is working from assumptions — which is fine, but flag it. Phase 2 is specifically designed to test assumptions.
Work one task at a time. Present the deliverable, get feedback, then move to the next task. Don't dump all nine tasks at once.
Duration: 1-3 hours | Output: outputs/02-beachhead-candidates.md
"SaaS founders from the US" is NOT a segment. As a new player entering a market, you need critical mass of traction with relatable references. You cannot effectively market to 17,000 SaaS founders — nobody will feel like your product was built for them. A beachhead segment is narrow enough that customers within it reference each other, share context, and create word-of-mouth density.
What to do:
Read my-gtm-context.md sections 2 (Target Market) and 3 (ICP). Pull any existing market assumptions.
If Phase 1 outputs exist, extract the initial market/customer assumptions from the OPE canvas and SWOT.
Guide the user to brainstorm 5-8 candidate beachhead segments. For each segment, capture:
Rank the candidates. The best beachhead has HIGH pain, HIGH reachability, and HIGH reference density. Size should be small enough to dominate but large enough to sustain early revenue.
Select 1-3 segments to investigate further in Tasks 3-5.
The deliverable should include: A ranked table of candidates with scoring, the rationale for top picks, and a list of assumptions to validate per segment.
Duration: 1-3 hours | Output: outputs/02-market-problem-map.md
Most companies start with a narrower niche than they think. The Market-Problem Map is a framework for "slicing and dicing" the market to find your best bet for an early customer segment and initial positioning. You start with assumptions, then update from discovery.
What to do:
Create a matrix with market segments on one axis and problems/use cases on the other.
For each cell, assess:
Highlight the 2-3 strongest segment-problem intersections. These are your beachhead hypotheses.
Compare with Task 1 output. The Market-Problem Map should either confirm the beachhead ranking or reveal a better entry point.
The deliverable should include: The full matrix (Markdown table), highlighted top intersections, and a note on which assumptions are strongest vs. weakest.
Duration: 1-3 hours | Output: outputs/02-validation-methods.md
The core principle: CONFIDENCE = EVIDENCE. You need to find evidence for your initial assumptions, and different methods provide different levels of confidence.
Methods ranked by confidence level (highest to lowest):
| Method | Confidence | Best When | Sample Size |
|---|---|---|---|
| Customer interviews (1:1) | Highest | B2B, complex products, early stage | 5-20 per segment |
| Sales/demo conversations | High | You have a product to show | 10-30 |
| Social experiments (landing pages, fake doors) | High | Testing demand before building | 100-500 visitors |
| Surveys | Medium | B2C, PLG, large audience accessible | 100-500 responses |
| Secondary research (reports, data) | Low-Medium | Market sizing, trend validation | N/A |
| Competitor analysis | Low-Medium | Understanding alternatives | N/A |
What to do:
Assess the user's current state:
my-gtm-context.md): Idea? Pre-launch? Launched?Recommend a validation plan: which methods, in what order, with what sample sizes.
For interviews specifically: help estimate how many segments to cover (typically 1-3) and how many interviews per segment (5-20, stop when insights repeat).
Set expectations: interviews take 1-3 days of calendar time, surveys need 3-7 days for collection.
The deliverable should include: A concrete validation plan with methods, timelines, target sample sizes, and what each method will validate.
Duration: 1-3 days | Output: outputs/02-interview-findings.md
Interviews are the highest-confidence validation method. This task provides the interview structure, question frameworks, and synthesis templates.
What to do:
Recruitment strategy. Help the user plan how to get interviews:
Interview guide. Generate a structured question list tailored to the user's product and beachhead segments. Categories:
Recording and synthesis. Advise: always record (with permission). After each interview, capture:
Cross-interview synthesis. After multiple interviews, help the user identify:
The deliverable should include: Interview guide (ready to use), synthesis template, and after interviews are done, a findings summary with patterns, quotes, and implications.
Duration: 1-3 days | Output: outputs/02-survey-results.md
Best for B2C, PLG, or mainstream products where you need quantitative validation across a larger audience. Surveys complement interviews — they provide breadth where interviews provide depth.
What to do:
Determine if a survey is right. Surveys work when:
Survey design. Help the user build a survey (tools: Typeform, Google Forms, SurveyMonkey):
Distribution plan. Help identify where to promote:
Analysis framework. After collection, help synthesize:
The deliverable should include: Survey draft (ready to copy into a tool), distribution plan, and after collection, an analysis summary.
Duration: 1-3 hours | Output: outputs/02-competitor-analysis.md
Critical reframe: competitor analysis is NOT about who shows up on Google for your keywords. It is about the competitive alternatives that appear in your target customer's actual purchasing decision. That includes direct competitors, adjacent tools, manual processes (spreadsheets, agencies), and doing nothing.
What to do:
Identify real competitive alternatives. Ask the user: "When your target customer has this problem, what do they actually do about it today?" Categories:
Analyze each competitor on:
Map the competitive landscape. Create a 2x2 positioning map using the two dimensions most relevant to the user's market (e.g., ease-of-use vs. feature depth, price vs. specialization).
Identify gaps. Where is there white space? What does no competitor do well for your specific beachhead segment?
Cross-reference with interview findings (Task 4) if available. Do prospects mention these competitors? Which ones? What do they say?
The deliverable should include: Competitor table, positioning map, gap analysis, and strategic implications for the user's positioning.
Duration: 1-3 hours | Output: outputs/02-competition-mood-boards.md
Ongoing competitor monitoring that captures how competitors present themselves across channels. This creates a reference library for later positioning and content work.
What to do:
Web presence audit. For each key competitor (top 3-5 from Task 6):
Social media audit.
Email marketing. Sign up for competitor newsletters and free trials. Document:
SEO and content. Quick assessment:
Monitoring setup. Help the user set up ongoing tracking:
The deliverable should include: Structured notes per competitor across all channels, key observations, and a monitoring checklist for ongoing tracking.
Duration: 1-3 hours | Output: outputs/02-competitor-ads-emails.md
Competitor advertising reveals what messaging they've tested and what converts. Long-running ads are a strong signal — if an ad has been active for months, it is likely performing well.
What to do:
Ad library research. Check each major platform:
For each competitor's ads, capture:
Email sequence analysis. From Task 7's newsletter signups:
Pattern synthesis. Across all competitors:
The deliverable should include: Ad screenshots/descriptions organized by competitor, email sequence maps, and a synthesis of messaging patterns and gaps.
Duration: 1-3 days | Output: outputs/02-competitor-experience.md
Hands-on competitive intelligence. Reverse-engineer the competitor's full customer experience — from first touch through value delivery. Nothing replaces actually being a customer.
What to do:
Select 2-3 competitors to experience directly (prioritize the ones your beachhead segment actually considers, from Task 6).
Go through their full funnel:
Capture the experience in detail:
Bonus: Learn from their people. If possible:
Strategic implications. For each competitor experience:
The deliverable should include: Detailed experience journal per competitor, a comparison matrix, and a "steal/fix/surprise" synthesis.
After completing the tasks above, the user should have:
| Output | What It Proves |
|---|---|
02-beachhead-candidates.md | Narrowed from broad market to specific, attackable segments |
02-market-problem-map.md | Mapped which segments care most about which problems |
02-validation-methods.md | A concrete plan to test assumptions with real evidence |
02-interview-findings.md | First-hand qualitative evidence from target customers |
02-survey-results.md | Quantitative validation across a broader audience |
02-competitor-analysis.md | Clear picture of competitive alternatives and white space |
02-competition-mood-boards.md | Reference library of competitor positioning and presence |
02-competitor-ads-emails.md | Competitive messaging patterns and gaps |
02-competitor-experience.md | Hands-on knowledge of competitor strengths and weaknesses |
This phase transforms assumptions into evidence. The user entered Phase 2 with hypotheses about their market, customers, and competition. They leave with validated (or invalidated) insights ready for Phase 3: Validating Customers.
Proceed to Phase 3: validating-customers to synthesize intelligence into validated personas (ICP, Early Customer Profile), map assumptions systematically, and run focused experiments.
GTM Strategist methodology by Maja Voje. https://gtmstrategist.com
© GTM-Strategist, 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 .claude/skills/collecting-intelligence of GTM-Strategist/gtm-strategist-skills.
Open the folder on GitHubat commit a5ead26
Collecting Intelligence 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 |
|---|---|---|---|---|---|---|
| Collecting Intelligence this skillGTM-Strategist/gtm-strategist-skills | 264 | — | ~4.9k | Automated safety check: Pass | MIT | |
| Reddit Researchlignertys/reddit-research-skills | 14 | — | ~3.8k | Automated safety check: Warn | MIT | |
| Consulting Analysisbytedance/deer-flow | 84k | 4 repos | ~8.4k | Automated safety check: Pass | MIT | |
| Startup Designferdinandobons/startup-skill | 1.2k | — | ~8.1k | Automated safety check: Pass | MIT | |
| Money Discoveriamzifei/show-me-the-money | 1k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Omk ResearchKaimingWan/oh-my-kiro | 107 | — | ~827 | Automated safety check: Pass | MIT |
lignertys/reddit-research-skills
Researches what people say on Reddit through semantic search on reddapi.dev: pain points, product validation, competitor research and subreddit trends.
bytedance/deer-flow
A skill your agent uses when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial…
ferdinandobons/startup-skill
Design, validate, and plan a startup from scratch. An agent skill from ferdinandobons/startup-skill.
iamzifei/show-me-the-money
Discover profitable business ideas from scratch. An agent skill from iamzifei/show-me-the-money.
KaimingWan/oh-my-kiro
Multi-level research: built-in knowledge → web search → Tavily deep research API.
manojbajaj95/claude-gtm-plugin
Comprehensive market research and analysis skill. An agent skill from manojbajaj95/claude-gtm-plugin.
GTM-Strategist/gtm-strategist-skills
A skill your agent uses when the user wants to position their product in the market, craft messaging, define their UVP/USP, or build a visual identity.
GTM-Strategist/gtm-strategist-skills
A skill your agent uses when the user wants to validate their customer assumptions, test their ICP, design experiments, or create customer personas from evidence.
GTM-Strategist/gtm-strategist-skills
A skill your agent uses when the user asks about pricing strategy, how to price their product, willingness-to-pay research, or business model design.
GTM-Strategist/gtm-strategist-skills
A skill your agent uses when the user wants to choose marketing channels, plan their launch newsletter, set a GTM budget, collect social proof, or build their communication strategy.
GTM-Strategist/gtm-strategist-skills
A skill your agent uses when the user is preparing to launch, wants to set up a war room, build a launch support network, write launch emails, or plan launch day activities.
GTM-Strategist/gtm-strategist-skills
A skill your agent uses when the user needs to build launch assets like a website, pitch deck, press release, product demo, or media kit.
Categories
A skill your agent uses when the user wants to research competitors, plan customer interviews, conduct market research, or understand their competitive landscape. Collecting Intelligence is an agent skill from GTM-Strategist/gtm-strategist-skills. Use this skill when the user wants to research competitors, plan customer interviews, conduct market research, or understand their competitive landscape.
Collecting Intelligence fits situations like: the user wants to research competitors; plan customer interviews; conduct market research; understand their competitive landscape.
Run `npx skills add GTM-Strategist/gtm-strategist-skills --skill collecting-intelligence -a claude-code`. Or copy the skill folder (.claude/skills/collecting-intelligence in GTM-Strategist/gtm-strategist-skills) into .claude/skills/collecting-intelligence in your project. Claude Code loads it when a task matches its description.
Run `npx skills add GTM-Strategist/gtm-strategist-skills --skill collecting-intelligence -a codex`. Or copy the skill folder (.claude/skills/collecting-intelligence in GTM-Strategist/gtm-strategist-skills) into .agents/skills/collecting-intelligence 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 GTM-Strategist/gtm-strategist-skills --skill collecting-intelligence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/collecting-intelligence, .gemini/skills/collecting-intelligence, .github/skills/collecting-intelligence and .opencode/skills/collecting-intelligence in your project.
SKILL.md names no scripts, command-line tools or credentials: Collecting Intelligence is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: gtmstrategist.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.
Collecting Intelligence is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.9k tokens (SKILL.md is roughly 20k 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 Collecting Intelligence: Reddit Research (lignertys/reddit-research-skills, 14 stars), Consulting Analysis (bytedance/deer-flow, 84k stars), Startup Design (ferdinandobons/startup-skill, 1.2k stars) and Money Discover (iamzifei/show-me-the-money, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
GTM-Strategist (a GitHub organization) maintains it in GTM-Strategist/gtm-strategist-skills, which has 264 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on August 7, 2026.
Source: GTM-Strategist/gtm-strategist-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.