Management Consultant
DogInfantry/claude-skill-management-consultant-B1
MBB-level management consultant with mastery over structured thinking, frameworks, guesstimation, industry analysis, and executive-grade deliverables.
Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit.
Install AI Research Analyst
$ npx skills add cbrock84/headcount --skill ai-research-analyst -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cbrock84/headcount ai-research-analyst --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/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/executive/skills/ai-research-analyst .claude/skills/ai-research-analyst && 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 "ai-research-analyst" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/executive/skills/ai-research-analyst into .claude/skills/ai-research-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-analyst", 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/cbrock84/headcount/tree/main/plugins/executive/skills/ai-research-analystType 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 cbrock84/headcount --skill ai-research-analyst -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cbrock84/headcount ai-research-analyst --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/executive/skills/ai-research-analyst .agents/skills/ai-research-analyst && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-research-analyst" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/executive/skills/ai-research-analyst into .agents/skills/ai-research-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-analyst", 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 cbrock84/headcount --skill ai-research-analyst -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cbrock84/headcount ai-research-analyst --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/executive/skills/ai-research-analyst .cursor/skills/ai-research-analyst && 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 "ai-research-analyst" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/executive/skills/ai-research-analyst into .cursor/skills/ai-research-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-analyst", 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/cbrock84/headcount.git --path plugins/executive/skills/ai-research-analyst--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 cbrock84/headcount --skill ai-research-analyst -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cbrock84/headcount ai-research-analyst --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/executive/skills/ai-research-analyst .gemini/skills/ai-research-analyst && 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 "ai-research-analyst" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/executive/skills/ai-research-analyst into .gemini/skills/ai-research-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-analyst", 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 cbrock84/headcount ai-research-analystInstalls 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 cbrock84/headcount --skill ai-research-analyst -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/executive/skills/ai-research-analyst .github/skills/ai-research-analyst && 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 "ai-research-analyst" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/executive/skills/ai-research-analyst into .github/skills/ai-research-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-analyst", 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 cbrock84/headcount --skill ai-research-analyst -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cbrock84/headcount ai-research-analyst --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/executive/skills/ai-research-analyst .opencode/skills/ai-research-analyst && 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 "ai-research-analyst" agent skill from https://github.com/cbrock84/headcount/tree/main/plugins/executive/skills/ai-research-analyst into .opencode/skills/ai-research-analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-research-analyst", 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
ai-research-analyst- GitHub stars
- 2k
- Token cost
- ~916 tokens
- SKILL.md length
- 484 words
- Files
- 2 (incl. references)
- Skills in repo
- 178
- Repo updated
- First seen
- Licence
- MIT
At a glance
Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit.
- Works in 6 steps: The question, and the decision it serves. → Answer first — the finding, in three… → Evidence, grouped by claim, each with… → …
- Comparing options that need a structured
- SKILL.md covers Start from the decision, Sourcing discipline, Structure and Analyzing competitors, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI Research Analyst is an agent skill from cbrock84/headcount. Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a research brief, or assemble evidence for a decision. Also use when comparing options that need a structured, evidence-based verdict rather than an opinion.
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sources.md`).
It sits in Product & Project Management, covering Forecasting and time series, Go-to-market strategy and Deep research. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.
When your agent uses it
- Comparing options that need a structured
- Evidence-based verdict rather than an opinion
Example prompts
- “Use the ai-research-analyst skill to produce executive-level research — market sizing, competitor mapping, trend analysis, and strategic…”
- “/ai-research-analyst”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- The question, and the decision it serves.
- Answer first — the finding, in three sentences, before any evidence.
- Evidence, grouped by claim, each with its source and date.
- What we could not establish, explicitly.
- Implications — what this means for the decision, not a restatement.
- Confidence, per major claim: established, inferred, or estimated.
What it can do on your machine
Read from SKILL.md and the folder at commit 98d1c17. 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
AI Research Analyst loads about 916 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 484 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 cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 484 words, ~916 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-research-analyst/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- ai-research-analyst
- description
- Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a research brief, or assemble evidence for a decision. Also use when comparing options that need a structured, evidence-based verdict rather than an opinion.
AI research analyst
Research is only useful if the reader can tell what is established, what is inferred, and what is guessed. Blurring those three is the characteristic failure and it makes the whole report untrustworthy.
Start from the decision
Name the decision the research serves and what would change it. Research with no decision attached expands without limit and answers nothing. If the answer would not change the action, say so and stop.
Sourcing discipline
- Cite specifically — the source, its date, and what it actually says. A claim with no source is an opinion, and should be labeled as one rather than dressed as a finding.
- Prefer primary — filings, regulator data, official statistics, and company disclosures over articles summarizing them. Each layer of summary adds error.
- Date everything. Market data ages fast, and a two-year-old figure presented as current is the most common way research misleads.
- Note who benefits. Vendor-published market sizes and analyst reports commissioned by participants are directionally useful and systematically inflated.
- Say when you do not know. An honest gap is more useful than a confident estimate, because the reader can go and fill it.
Never invent a statistic, a source, or a quote. If a number cannot be found, report that it cannot be found — a fabricated figure that survives into a decision is the worst outcome this skill can produce.
Structure
- The question, and the decision it serves.
- Answer first — the finding, in three sentences, before any evidence.
- Evidence, grouped by claim, each with its source and date.
- What we could not establish, explicitly.
- Implications — what this means for the decision, not a restatement.
- Confidence, per major claim: established, inferred, or estimated.
Show full SKILL.md (200 more words)Show less
Analyzing competitors
Map on what matters to the buyer, not on feature counts. For each: who they serve, what they charge, how they win deals, where they are genuinely strong, and what they cannot do without changing their model. The last one is where opportunity is.
Separate what a competitor claims from what customers report. Review sites, support forums, and job postings often say more than a website does — hiring patterns in particular reveal roadmap.
Comparing options
Score against criteria stated and weighted before the analysis. Weighting afterward produces the answer you already preferred. Show the working, and name the criterion that would flip the result if weighted differently.
Sources
references/sources.md in this skill lists the outside authorities that settle the questions
here — what each one is authoritative for, and what you may do with it. Check them before
answering on anything they cover, and cite what you used. Most are free to read and not free
to reproduce; the use note on each is binding.
Never
- Present a range as a point estimate.
- Aggregate sources of different quality into one number without saying so.
- Let a compelling narrative substitute for evidence — the tidiest story is often the least supported.
© cbrock84, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in plugins/executive/skills/ai-research-analyst of cbrock84/headcount.
- SKILL.md
- references/sources.md
Open the folder on GitHubat commit 98d1c17
Compare with similar skills
AI Research Analyst 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 |
|---|---|---|---|---|---|---|
| AI Research Analyst this skillcbrock84/headcount | 2k | — | ~916 | Automated safety check: Pass | MIT | |
| Management ConsultantDogInfantry/claude-skill-management-consultant-B1 | 136 | — | ~14k | Automated safety check: Pass | Custom licence | |
| Business Modelagentii-ai/agentii-investment-intelligence | 207 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Product Market Researcherchendongqi/OPB-Skills | 126 | — | ~561 | Automated safety check: Pass | None | |
| Startup Designferdinandobons/startup-skill | 1.2k | — | ~8.1k | Automated safety check: Pass | MIT | |
| Revops Revenue Planningswan-gtm/gtm-skills | 172 | — | ~7.2k | Automated safety check: Pass | MIT |
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Related
Questions about AI Research Analyst
What does AI Research Analyst do?
Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. AI Research Analyst is an agent skill from cbrock84/headcount. Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit.
When should I use AI Research Analyst?
AI Research Analyst fits situations like: comparing options that need a structured; evidence-based verdict rather than an opinion.
How do I install AI Research Analyst in Claude Code?
Run `npx skills add cbrock84/headcount --skill ai-research-analyst -a claude-code`. Or copy the skill folder (plugins/executive/skills/ai-research-analyst in cbrock84/headcount) into .claude/skills/ai-research-analyst in your project. Claude Code loads it when a task matches its description.
How do I install AI Research Analyst in Codex?
Run `npx skills add cbrock84/headcount --skill ai-research-analyst -a codex`. Or copy the skill folder (plugins/executive/skills/ai-research-analyst in cbrock84/headcount) into .agents/skills/ai-research-analyst in your project. Codex loads it when a task matches its description.
Can I use AI Research Analyst 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 cbrock84/headcount --skill ai-research-analyst -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-research-analyst, .gemini/skills/ai-research-analyst, .github/skills/ai-research-analyst and .opencode/skills/ai-research-analyst in your project.
What does AI Research Analyst need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Research Analyst is instructions for the agent only.
Does AI Research Analyst 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 AI Research Analyst 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 AI Research Analyst use?
AI Research Analyst 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 AI Research Analyst use?
About 916 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 365 tokens, read only when the agent opens those files.
What are the alternatives to AI Research Analyst?
Skills that share tags, products or a category with AI Research Analyst: Management Consultant (DogInfantry/claude-skill-management-consultant-B1, 136 stars), Business Model (agentii-ai/agentii-investment-intelligence, 207 stars), Product Market Researcher (chendongqi/OPB-Skills, 126 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.
Who maintains AI Research Analyst?
cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,022 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on September 17, 2026.
Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.