competitor-watch
Skill2 starsChanged 56 days agoMITView on GitHub
Radar — reads what the competitors Pastel tracks are posting, who engages with it, and what those people complain about, then turns it into leads and angles. Use for "who's engaging with [competitor]", competitor intelligence, a weekly competitor digest, or ideas for displacement messages and posts.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- TrueScrape/truescrapetheir own version, first seen Nov 8, 2026
- CatCatUncle/openworkbuddytheir own version, first seen Nov 5, 2026
- claude-world/cf-browsertheir own version, first seen Nov 1, 2026
- legioncodeinc/littlebird-skillstheir own version, first seen Oct 20, 2026
- muguang1224/competitor-watchtheir own version, first seen Oct 15, 2026
- calven-ai/marketing-as-codetheir own version, first seen Oct 7, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- CatCatUncle/openworkbuddy★ 398same name
- calven-ai/marketing-as-code★ 10same name
- claude-world/cf-browser★ 9same name
- legioncodeinc/littlebird-skills★ 8same name
- roeibh/morning-briefing-claude-plugin★ 3same name
- localoy-ai/localstack★ 2same name
- muguang1224/competitor-watch★ 1same name
- TrueScrape/truescrape★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository20 other files it gives its agents.
- AGENTS.mdAGENTS.md
- buying-committeeSkill
- call-readySkill
- campaign-launchSkill
- command-centerSkill
- fit-checkSkill
- human-voiceSkill
- intent-radarSkill
- market-mapSkill
- message-writerSkill
- morning-briefSkill
- nudgeSkill
- outbound-briefSkill
- post-studioSkill
- priority-rankSkill
- reach-checkSkill
- reply-deskSkill
- social-warmupSkill
- what-worksSkill
- why-nowSkill
The file
Files
Competitor watch — Radar
House rules: ../command-center/shared/house-rules.md · Pastel tools: ../command-center/shared/pastel-tools.md
People who engage with a competitor are already shopping. Their comments also tell you, in their own words, what the competitor doesn't solve.
Steps
- List the competitors from
pastel_get_workspace_contextandoutbound-brief.md. The user can add names. - Their recent posts:
pastel_query_postswith each competitor's name assearch, statusALL. Open the most engaged ones withpastel_get_details. - Who engaged:
pastel_leads_for_poston each of those posts. Keep people who fitoutbound-brief.md; note how many engaged with more than one competitor. - What they're saying: from the comments, collect complaints, missing features, pricing reactions, and questions that went unanswered. Quote exactly; a paraphrase is not evidence.
- Turn it into moves:
- leads → lead cards with signal "engaged with [competitor] on [date]", handed to
fit-check; - recurring complaints → angles for
message-writer(only ones our product actually answers); - open questions → post ideas for
post-studio.
- leads → lead cards with signal "engaged with [competitor] on [date]", handed to
Messages talk about the problem the comments reveal, not about the competitor: naming a rival in a first message tends to start a debate instead of a conversation.
Output
# Competitor watch — [period]
| Competitor | Posts read | People engaged | Fit our brief |
What people say (quoted):
- "…" — [role], on [competitor]'s post, [date]
Leads handed to fit-check: n
Angles for message-writer:
Post ideas for post-studio:
Open questions:Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

