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Helm Recon Agent Skill

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.

1k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
2679
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill helm-recon

What comes with it

608 bytes besides the instruction
.claude-plugin/plugin.json

What it tells the agent to use

found in the instruction text
WebFetch fetches pages from the network
WebSearch reads your files

The instruction itself

9 sections, as written by the author

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:

find . -name "*.md" | xargs grep -l "brief\|persona\|OKR\|roadmap\|strategy\|positioning" 2>/dev/null | head -20
ls docs/ research/ product/ briefs/ strategy/ 2>/dev/null

Step 1: Inventory Product Artifacts

Read and summarize:

  • Existing briefs — any files matching brief*.md, helm-brief*.md, or a briefs/ directory
  • Roadmaps — roadmap docs, now/next/later plans, quarterly plans
  • OKRs — objective/key-result documents, metric definitions
  • Strategy memos — vision docs, strategic narratives, bet-sizing documents
  • Competitive analysis — competitor comparisons, positioning 2x2s

Step 2: Inventory Research and User Insights

Read and summarize:

  • Personas — existing user persona cards or segment definitions
  • JTBD statements — jobs-to-be-done frameworks, user stories
  • Interview summaries — research synthesis, user feedback reports
  • Feedback data — NPS reports, support ticket themes, churn analysis
  • Analytics summaries — funnel reports, retention data, metric dashboards

Step 3: Inventory Specialist Output

Check what each product specialist has produced:

| Specialist | Check For |

| ---------- | ---------------------------------------------------------- |

| Echo | Persona cards, interview reports, feedback synthesis |

| Lumen | Metrics frameworks, funnel analyses, A/B test results |

| Draft | User flows, wireframes, IA documents |

| Form | Brand guides, design systems, logo/color specs |

| Crest | Roadmaps, competitive analyses, OKRs |

| Pitch | Positioning statements, messaging frameworks, launch plans |

| Surge | Growth experiments, retention playbooks, PLG strategies |

Step 4: Identify Gaps

For each category above, note:

  • What exists — artifact name and approximate freshness
  • What's missing — gaps that would block brief writing
  • What's stale — artifacts older than 3 months or out of sync with current state

Step 5: Present Assessment

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

## Product Reconnaissance

**Product:** [name] | **Stage:** [0→1 / growth / scaling / mature]

### Artifacts Inventory
| Area           | Status  | Last Updated | Notes |
|----------------|---------|--------------|-------|
| Briefs         | [✓/✗/~] | [date]       | [N] found |
| Roadmap        | [✓/✗/~] | [date]       | [horizon] |
| OKRs           | [✓/✗/~] | [date]       | [quarter] |
| Personas       | [✓/✗/~] | [date]       | [N] found |
| Research       | [✓/✗/~] | [date]       | [N] found |
| Competitive    | [✓/✗/~] | [date]       | [N] found |

### Key Insights from Existing Work
[2-4 bullet points — the most important things already known]

### Gaps Before Brief Writing
- [BLOCKING] [gap that must be filled first]
- [USEFUL] [gap that would help but isn't blocking]

### Recommended Next Step
[Which specialist to dispatch first, and why]

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

How to use it

Copy the folder

Take jeremylongshore/helm-recon from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.