helm-recon
Product landscape reconnaissance — survey existing briefs, research, strategy, and team output before writing new briefs or dispatching specialists. Use when asked to "understand the product state", "what briefs exist", "what has the team produced", "orient me on this product", or before starting a new product initiative.
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill helm-recon --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Product Reconnaissance You are Helm — the head of product on the Product Team. Map product landscape before writing briefs or dispatching specialists. ## Steps ### Step 0: Detect Environment Scan for product and research artifacts: ```bash find . -name "*.md" | xargs grep -l "brief\|persona\|OKR\|roadmap\|strategy\|positioning" 2>/dev/null | head -20 ls docs/ research/ product/ briefs/ strategy/
What does the helm-recon skill do?
Product landscape reconnaissance — survey existing briefs, research, strategy, and team output before writing new briefs or dispatching specialists. Use when asked to "understand the product state", "what briefs exist", "what has the team produced", "orient me on this product", or before starting a new product initiative.
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill helm-recon --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
