Agent skill

Competitors

by davepoon in davepoon/buildwithclaude

Manages the founder's competitive landscape — discovering competitors, updating existing competitor files, adding new ones, and dispatching ad-hoc research.

MITAuto-check passed

Install Competitors

skills CLI
$ npx skills add davepoon/buildwithclaude --skill competitors -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install davepoon/buildwithclaude competitors --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/davepoon/buildwithclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/startup-superpowers/skills/competitors .claude/skills/competitors && rm -rf skills-src

Use ~/.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/

Facts

Skill name
competitors
GitHub stars
3.6k
Token cost
~2.1k tokens
SKILL.md length
1,102 words
Files
4 (incl. references)
Skills in repo
245
Repo updated
First seen
Licence
MIT

At a glance

Manages the founder's competitive landscape — discovering competitors, updating existing competitor files, adding new ones, and dispatching ad-hoc research.

  • The founder wants to explore competitors
  • SKILL.md covers Before you start, When competitors already exist, Research guidance and When no competitors exist (or…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Do competitive research

What it does

Competitors is an agent skill from davepoon/buildwithclaude. Manages the founder's competitive landscape — discovering competitors, updating existing competitor files, adding new ones, and dispatching ad-hoc research. Use when the founder wants to explore competitors, do competitive research, update a competitor profile, or understand who else is solving their problem.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/discovery.md`, `references/user-feedback.md` and `references/watch.md`).

The repository describes itself as: A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw. The licence is MIT.

When your agent uses it

  • The founder wants to explore competitors
  • Do competitive research
  • Update a competitor profile
  • Understand who else is solving their problem

Example prompts

  • “Use the competitors skill to manage the founder's competitive landscape — discovering competitors, updating existing competitor files, adding new…”
  • “/competitors”

What it can do on your machine

Read from SKILL.md and the folder at commit 10bfc43. 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 (its code samples are bash).

    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

Competitors loads about 2.1k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 1,102 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

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 davepoon/buildwithclaude at commit 10bfc43, republished under its MIT licence (© davepoon). 1,102 words, ~2,111 tokens.

Download SKILL.mdSave it as .claude/skills/competitors/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
competitors
description
Manages the founder's competitive landscape — discovering competitors, updating existing competitor files, adding new ones, and dispatching ad-hoc research. Use when the founder wants to explore competitors, do competitive research, update a competitor profile, or understand who else is solving their problem.

Competitors

Manage the competitive landscape for the founder's project. This skill handles both working with existing competitor data and orchestrating new discovery when needed.

Before you start

Read startup/core.md to load project context (name from frontmatter, seed description, and all fields under ## Core — audience, problem, solution, ICP, geography, etc.). If this file does not exist, this usually means the project has not been started yet, and the idea has not yet benn properly discussed with the user. Although this skill can technically be used without it, a well-thought description of what the user whant to build or discover is paramount for targeted and insightful research. Make the user know the project does not seem to be initilised and propose to do so via /whats-next (they can use this command, or you can refer to this skill yourself).

So, if the file does exist or user insists on going forward without, it, continue with the instructions that follow.

Check if startup/competitors/ exists and contains any .md files.

Scaffold the folder if it doesn't exist yet:

bash
mkdir -p startup/competitors

When competitors already exist

Load and understand them for context.

Before inferring intent — check for thin files.

A file is thin if any of these are true:

  • The ## Description body contains *To be filled in.* or is a single short sentence with no real substance
  • The file is missing a ## Core Features section entirely
  • The file is missing a ## Notes section AND the description is thin

If any thin files are found, surface this before doing anything else:

"I see {N} competitor(s) that haven't been fully researched yet: {names}. Want me to fill those out before we continue?"

  • Yes → dispatch a single web-researcher call covering all thin files (same focused prompt as discovery.md Path A). The web-researcher agent is generic, so include the Competitor output format spec from references/discovery.md in the dispatch prompt (the per-competitor fields + direct/indirect + maturity), asking for description, core features, and differentiation notes for each. Save raw output to startup/research/{YYYY-MM-DD}-{slug}-research.md for each, or one combined file if multiple. Write the filled content back to each competitor file. Then proceed with whatever the founder originally asked.
  • No → proceed directly with whatever the founder originally asked.

If all existing files are properly filled out, skip this check silently and proceed.


Infer intent from the conversation — don't mechanically ask "what do you want to do?" If the founder is:

  • Asking about a specific competitor — load that file, discuss, help update it
  • Adding a new competitor — help create a new file following the conventions below
  • Updating an existing competitor — read the file, propose changes, get confirmation, write it back
  • Asking about the landscape broadly — summarize what exists, grouped by type (direct/indirect), with key differentiators
  • Wanting deeper research on a specific competitor — dispatch the web-researcher agent with a focused prompt about that competitor (the agent is generic, so include the Competitor output format spec from references/discovery.md in the prompt), update the file with findings, and save the full web-researcher output to startup/research/{YYYY-MM-DD}-{competitor-slug}-research.md with frontmatter date, topic, and source_skill: competitors
  • Wanting to know what users think of a competitor — when the founder asks specifically about user feedback / reviews / what people love or complain about (for one competitor or the whole set), load references/user-feedback.md and follow it. It mines review sites and communities and writes a ## What Users Say section into each competitor file.
  • Checking on / refreshing / monitoring existing competitors — when the founder wants to re-check competitors they already have ("check on my competitors", "what's changed since we looked?", "are these still accurate?", "refresh the landscape"), this is a watch pass, not first-time discovery. Load references/watch.md and follow it. It re-checks each existing competitor for changes (features, pricing, pivots, shutdown signals), scans for new entrants, refreshes files in place with a ## Change Log, appends to the rolling digest startup/competitor-watch.md, and re-syncs the landscape map. Requires at least one non-archived competitor — if none exist, route to references/discovery.md instead.
  • Archiving — when a competitor is no longer relevant (e.g., after a pivot to a different market), set status: archived and add archived_reason to frontmatter with a one-line explanation. Archived competitors stay in place and can be restored by removing the status or setting it to active
Show full SKILL.md (409 more words)Show less

When adding or updating competitor files, follow the file conventions:

  • YAML frontmatter with type (direct or indirect), url (competitor's main website), and optionally status (active or archived — defaults to active when absent)
  • Optional maturity — one of incumbent (established/large), scaleup (growing, Series A+), startup (early/small), or unknown. Classified during discovery from funding/age/size signals; omit or use unknown when unclear
  • Optional last_checked — ISO date (YYYY-MM-DD) of the last competitor-watch pass over this file. Set/bumped by the watch workflow (references/watch.md); absent on files that have never been watched
  • H1 heading: the competitor's name
  • ## Description — what the company does and who it targets (2-3 sentences)
  • ## Core Features — bullet list of notable capabilities
  • ## Notes — comparison to the project, differentiation angles, founder comments
  • Optional ## What Users Say — machine-generated by the user-feedback workflow (references/user-feedback.md). H3 subsections ### What Users Love, ### Complaints, ### Unmet Needs, ### Misc; only non-empty buckets appear. Not authored by hand
  • Optional ## Change Log — machine-generated by the watch workflow (references/watch.md). Append-only dated bullets (- YYYY-MM-DD: shipped X / raised pricing / pivoted / archived — site dead), only added when a watch pass detects a change. Not authored by hand

Slug convention: lowercase the name, replace spaces and non-alphanumeric characters with hyphens, collapse multiple hyphens. "Notion AI" -> notion-ai.

Read before writing, and if you need to make some updates and it might not be oobvious from the context, it's always better running them by the user.


Research guidance

Ad-hoc web search vs. dispatching web-researcher

Not every web question needs a subagent:

  • Inline WebSearch / WebFetch (you, the main agent): single-fact lookups ("does Notion have a free tier?", "is ACME still operating?"), quick verification of a claim, one data point asked about in flow. Stays in conversation, no persistence needed.
  • Dispatch web-researcher: multi-source passes that benefit from an isolated context (deep dive into a specific competitor's features and positioning, full landscape scan, cross-source verification of a competitive claim). Output is structured and gets saved to startup/research/ for later reference.

Rough rule: one fact in flow → inline. Multi-source or results-should-persist → dispatch.

Model choice when dispatching

When dispatching the web-researcher agent for competitor research, use a fast model unless the founder explicitly asks for a more thorough or higher-quality search. Competitor research is token-intensive due to web fetching, and a lighter model handles it well.


When no competitors exist (or a large-scale competitor discovery or landscape reassessment needed)

If startup/competitors/ is empty or the situation suggests that a profound research is needed, load the reference file:

.claude/skills/competitors/references/discovery.md

The reference file's instructions take over from this point.


© davepoon, 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 3 other files (references) in plugins/startup-superpowers/skills/competitors of davepoon/buildwithclaude.

  • SKILL.md
  • references/discovery.md
  • references/user-feedback.md
  • references/watch.md

Open the folder on GitHubat commit 10bfc43

Compare with similar skills

Competitors 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.

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Competitors this skilldavepoon/buildwithclaude3.6k—~2.1kAutomated safety check: PassMIT
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HTML PPT Studiolewislulu/html-ppt-skill8.6k4 repos~4.7kAutomated safety check: PassMIT
Agent Browserquran/quran.com-frontend-next1.9k42 repos~3.3kAutomated safety check: PassNone
Process Inboxtelegramdesktop/tdesktop33k2 repos~4.5kAutomated safety check: PassGPL-3.0
Brag Launch Videolatent-spaces/brag14k1 repos~2.3kAutomated safety check: PassMIT

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Questions about Competitors

What does Competitors do?

Manages the founder's competitive landscape — discovering competitors, updating existing competitor files, adding new ones, and dispatching ad-hoc research. Competitors is an agent skill from davepoon/buildwithclaude. Manages the founder's competitive landscape — discovering competitors, updating existing competitor files, adding new ones, and dispatching ad-hoc research.

When should I use Competitors?

Competitors fits situations like: the founder wants to explore competitors; do competitive research; update a competitor profile; understand who else is solving their problem.

How do I install Competitors in Claude Code?

Run `npx skills add davepoon/buildwithclaude --skill competitors -a claude-code`. Or copy the skill folder (plugins/startup-superpowers/skills/competitors in davepoon/buildwithclaude) into .claude/skills/competitors in your project. Claude Code loads it when a task matches its description.

How do I install Competitors in Codex?

Run `npx skills add davepoon/buildwithclaude --skill competitors -a codex`. Or copy the skill folder (plugins/startup-superpowers/skills/competitors in davepoon/buildwithclaude) into .agents/skills/competitors in your project. Codex loads it when a task matches its description.

Can I use Competitors 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 davepoon/buildwithclaude --skill competitors -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/competitors, .gemini/skills/competitors, .github/skills/competitors and .opencode/skills/competitors in your project.

What does Competitors need to run?

SKILL.md names no scripts, command-line tools or credentials: Competitors is instructions for the agent only.

Does Competitors 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 Competitors 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 Competitors use?

Competitors 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 Competitors use?

About 2.1k tokens (SKILL.md is roughly 8.4k 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 9.8k tokens, read only when the agent opens those files.

What are the alternatives to Competitors?

Skills that share tags, products or a category with Competitors: Idea Refinement (addyosmani/agent-skills, 103k stars), HTML PPT Studio (lewislulu/html-ppt-skill, 8.6k stars), Agent Browser (quran/quran.com-frontend-next, 1.9k stars) and Process Inbox (telegramdesktop/tdesktop, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Competitors?

davepoon (a GitHub user) maintains it in davepoon/buildwithclaude, which has 3,604 GitHub stars. The repository holds 245 skills in this directory. The repository was last updated on October 6, 2026.

Source: davepoon/buildwithclaude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.