market-scan
Fresh public market and community signal scan for product discovery, validation, ICP, competitor, launch, and roadmap decisions.
Skill by hihol-labs
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/hihol-labs-market-scan
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/market-scan
What's inside
- Skill name
market-scan- Description
- Fresh public market and community signal scan for product discovery, validation, ICP, competitor, launch, and roadmap decisions. Use Last30Days when available.
- License
- MIT
- Metadata
- effort: high · category: research · side_effect: external-read-docs-write · explicit_invocation: false
- Instructions
- 62 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
--- name: market-scan description: Fresh public market and community signal scan for product discovery, validation, ICP, competitor, launch, and roadmap decisions. Use Last30Days when available. argument-hint: idea, problem, segment, competitor, audience, or launch question license: MIT metadata: category: research tags: [market, discovery, validation, last30days, social-signals] effort: high side_effect: external-read-docs-write explicit_invocation: false --- # Market Scan Use this skill when PFO needs current public market, competitor, user, or community signals before a product or strategy decision. Preferred research engine: `last30days` from `mvanhorn/last30days-skill`. ## Inputs - Topic, idea, problem, segment, competitor, or launch question - Target market or geography when relevant - Product stage: discovery, blueprint, strategy, launch, or iteration - Existing PFO artifacts if present: `DISCOVERY.md`, `IDEA_SCORECARD.md`, `VALIDATION_PLAN.md`, `MARKET_BRIEF.md`, `ICP.md`, `GO_TO_MARKET.md`, `FEEDBACK_LOG.md` ## Process 1. Read existing PFO artifacts before researching. 2. Convert the user request into a public-safe research topic. Remove secrets, private customer data, internal metrics, and proprietary snippets. 3. If `last30days` is installed, invoke it for the topic and use its synthesized evidence. 4. If `last30days` is unavailable, mark the scan `BLOCKED_EXTERNAL_TOOL` and list the exact research topic to rerun after installation. Do not fake social or market evidence. 5. Normalize findings into PFO artifacts. Do not paste raw Last30Days output wholesale. 6. Update decision impact: - `IDEA_SCORECARD.md`: evidence, weaknesses, KILL/TEST/BUILD impact. - `VALIDATION_PLAN.md`: Last 30 Days signal, source, engagement, confidence, next experiment. - `MARKET_BRIEF.md`: recent community signals, adversarial discovery, top complaints, alternatives, evidence links. - `FEEDBACK_LOG.md`: public feedback patterns when they influence iteration. - `CONTENT_BACKLOG.md`: public content candidates only when evidence is approved for reuse. ## Output Shape Return: ```text TOPIC: FRESH SIGNALS: TOP COMPLAINTS: ALTERNATIVES: ADVERSARIAL DISCOVERY: CONFIDENCE: PFO ARTIFACT IMPACT: NEXT VALIDATION STEP: ``` When writing docs, append dated evidence instead of replacing prior user-authored research unless the user explicitly asks to rewrite. ## Self-validation Before final output, verify: - Route, side-effect, and confirmation requirements match metadata. - Required artifacts or read-only result are explicit. - Verification, blockers, and next route are stated. ## Rules - Public sources only. - Do not send secrets, private customer data, unreleased product details, or proprietary code to external research tools. - Cite source links when available. - Separate verified evidence from assumptions. - Surface competitor advantages and uncomfortable negative signals instead of only supportive evidence. - Recent social engagement is a signal, not proof. Convert it into validation experiments before broad build scope.
From hihol-labs/product-factory-os, MIT.
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Signals
- Stars
- 5
- Forks
- 1
- Open issues
- 1
- Last commit (this folder)
- Jun 1, 2026 (5 months ago)
- Last release
- May 3, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/hihol-labs/product-factory-os
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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hihol-labs
Local browser smoke testing for frontend, full-stack, and visual workflows using Playwright, Browser Use, or equivalent browser automation.
SkillCFreshness: C★ 5Claude Code +9 - 0.526score
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Systematically reproduce, diagnose, fix, and regression-test a bug.
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Structured ideation router for turning rough ideas into decision-ready PFO paths.
SkillCFreshness: C★ 5Claude Code +9 - 0.523score
advisor
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Read-only advisory mode for product, architecture, and engineering decisions.
SkillCFreshness: C★ 5Claude Code +9
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Cite this page
market-scan skill. Agent Mart. https://agentmart.dev/skills/hihol-labs-market-scan (last updated 2026-10-24)