OpenClaw growth skill

Let OpenClaw find competitor gaps, buyer personas, and Reddit demand automatically

When RedditFind is wired into OpenClaw, it does more than search posts. It pulls out what users hate about competitors, who is most likely to pay, which demand signals are heating up, and what your team should do next to win more subscribers.

Competitor gap miningICP persona mappingDemand monitoringSubscription growth actions
What one run should give you
Not raw posts. A structured output your team can act on right away.
  • The product, pricing, and UX complaints that come up most often
  • Who is complaining: role, workflow, budget, and switching timing
  • Which subreddits, queries, and post types deserve ongoing watch
  • What to do next: landing-page angles, content, reply hooks, and priorities
Default boundaries
v1 focuses on low-risk discovery, analysis, and monitoring while people keep the final growth decisions.
  • Does not auto-post, comment, or DM by default
  • Requires one explicit approval during first auth
  • Starts in test before you decide to move into live

What it does for you

Turn the manual work of reading, tagging, and summarizing threads into a repeatable AI workflow.

Competitor gap radar
Capture complaints like too expensive, too slow, too complex, unstable, or hard to integrate, then rank them by replacement opportunity.
ICP persona mapping
Identify who is complaining, in what workflow, with what budget pressure, and whether they are ready to switch.
Demand signal monitoring
Keep tracking high-intent phrases such as alternative to, looking for, and frustrated with.
Subscription growth actions
Turn insights into landing-page angles, content ideas, sales hooks, and prioritized follow-up lists.

The output is action, not just data

Every run should make the next message, page, or campaign more obvious.

Competitor gap board
Summarize the differentiators worth pushing, ranked by frequency, intensity, and replacement opportunity.
Persona map
Pull role, goals, blockers, budget sensitivity, and buying triggers into one usable view.
Reddit watchlist
List the subreddits, queries, competitor names, and post patterns that deserve ongoing monitoring.
Next-step playbook
Recommend landing-page headlines, content directions, and human follow-up priorities to test next.

OpenClaw’s default growth workflow

Give it a product, a competitor, or a target market and let it run the full analysis loop.

1. Define the product and competitors
Tell OpenClaw what you sell, who you replace, and which audience you want to win.
2. Find the discussions and complaints
It starts by locating relevant subreddits, queries, and high-signal posts.
3. Extract persona and intent
Structure the poster’s role, use case, blockers, and buying intent into something reusable.
4. Turn it into monitoring
Keep watching the important topics instead of manually checking Reddit every day.
5. Return growth actions
End with conclusions, priorities, and recommended actions instead of a dump of links.

Tasks you can hand to OpenClaw directly

These prompts fit well into recurring OpenClaw routines and scheduled monitoring.

Find the competitor complaints that matter most
Analyze the last 30 days of Reddit complaints about a competitor and rank them by pain type, intensity, and replacement opportunity.
Build a buyer persona from real Reddit users
Find the people most likely to subscribe and summarize their role, workflow, and buying triggers.
Monitor replacement demand
Keep tracking posts like alternative to X or need a tool for Y and summarize new high-intent demand daily.
Turn insights into acquisition actions
Produce landing-page hooks, content angles, response ideas, and follow-up priorities from the findings.

Why this skill is AI-friendly

The goal is not feature sprawl. The goal is a workflow OpenClaw can execute, recover, and reuse reliably.

Public API for the data plane
OpenClaw reads stable, machine-readable output instead of relying on brittle browser automation.
CLI for the execution plane
Centralize auth, retry, polling, wait, and recovery in commands instead of in the prompt layer.
Skill Auth for one-time approval
Users approve once, then the AI keeps reusing the safely stored credential.
Async jobs with wait semantics
Analysis and monitoring are async by nature, so the AI can wait reliably and continue summarizing.

Default command contract for engineering

Install the CLI, then split reads and writes into separate lanes so OpenClaw can stay automatic for reads without silently mutating state.

CLI Contract
Recommended default flow for OpenClaw
./bin/redditfind-read install --language en --json
./bin/redditfind-read doctor --json
./bin/redditfind-read auth status --json
./bin/redditfind-control auth ensure --for-action discovery.create --confirm --json
./bin/redditfind-control discovery create --input competitor-gap-brief.json --wait --confirm --json
./bin/redditfind-read monitoring list --json
./bin/redditfind-read usage get --json

Start with redditfind-read install → doctor → auth status; switch to redditfind-control only for auth, create, delete, rotate, revoke, or live actions, and always require --confirm.

Auth and safety boundaries

Reads stay automatic, writes require confirmation, scopes stay minimal, and execution starts in test.

Default to test
Start in test so OpenClaw and the AI do not hit live flows by accident.
Least privilege
Request only the minimum scope bundle needed for discovery, overview, monitoring, and usage.
One confirmation
Allow one explicit human approval during first auth, then let the AI reuse it safely.
Secure storage
Prefer system secrets storage, then fall back to a local private file while keeping only profile metadata in plain config.
Skill Auth
Minimal auth bridge for OpenClaw
/api/open/skill-auth/start/api/open/skill-auth/poll/api/open/skill-auth/exchange/api/open/skill-auth/approve/api/open/skill-auth/revoke

The browser only handles one login and approval. Polling, token exchange, and secure storage stay inside the CLI.