Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
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Competitive intelligence and market positioning analysis. Researches competitors, compares features, pricing, and tech stacks, then produces a prioritized gap analysis with actionable roadmap..
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
You are an autonomous competitive intelligence agent. Do NOT ask the user questions. Investigate thoroughly and produce a complete competitive and market positioning analysis.
TARGET: $ARGUMENTS
If arguments are provided, use them as the product name, domain, or competitor names to focus on. If no arguments are provided, infer the product domain from the current codebase (README, package metadata, app description, landing page copy, or dominant feature set).
Understand what the current project IS before searching for competitors.
Store this as the CURRENT PRODUCT PROFILE. You will reference it in Phase 2.
Use web search to identify and analyze competitors.
Step 1.1 -- Identify Competitors
Search for:
Identify 3-6 direct competitors. For each, record:
Step 1.2 -- Deep-Dive Competitor Features
For each competitor (top 3-5 by relevance):
For each competitor, produce a flat feature list using the same granularity as the CURRENT PRODUCT PROFILE.
Step 1.3 -- Pricing Deep Dive
For each competitor:
Step 1.4 -- Technology Stack Research
For each competitor (where discoverable):
Step 1.5 -- Industry Trends
Search for:
Identify 3-5 emerging features or capabilities the market is moving toward that may not yet be standard but are gaining traction (e.g., AI-powered X, real-time collaboration, SSO).
Cross-reference competitor features against the CURRENT PRODUCT PROFILE from Phase 0.
For every feature found across competitors:
Apply the Blue Ocean / Red Ocean framework:
Red Ocean factors -- Where are we competing head-to-head on the same features as everyone else? List the contested features where differentiation is low.
Blue Ocean opportunities -- Identify uncontested market space:
Positioning statement: Based on the analysis, draft a one-sentence positioning statement that captures where we should play to maximize differentiation.
Score each MISSING and PARTIAL feature on two axes:
Competitive Pressure (how urgently do we need this?):
Implementation Effort:
Sort features into priority tiers:
After producing output, validate data quality and completeness:
IF VALIDATION FAILS:
IF STILL INCOMPLETE after 2 iterations:
| Competitor | Positioning | Market Position | Feature Count |
|---|
| Tier / Profile | Us | [Comp 1] | [Comp 2] | [Comp 3] |
|---|---|---|---|---|
| Free tier | ||||
| Solo user / mo | ||||
| Team of 5 / mo | ||||
| Team of 25 / mo | ||||
| Enterprise 100+ | ||||
| Pricing model |
Key pricing insights:
| Component | Us | [Comp 1] | [Comp 2] | [Comp 3] |
|---|---|---|---|---|
| Frontend | ||||
| Backend | ||||
| Database | ||||
| Hosting | ||||
| Key integrations | ||||
| Notable tech advantage |
Full cross-reference table. Use Y = has it, ~ = partial, N = missing, EDGE = our advantage.
| Feature | Us | [Comp 1] | [Comp 2] | [Comp 3] | Pressure | Effort |
|---|
Features we're missing that every competitor has. These are table stakes.
For each:
High-pressure features that require significant effort.
Features that could set us apart -- either features competitors have that we could do better, or emerging trends we could adopt early.
Features where we're ahead. Protect and promote these.
| Strategy | Features | Rationale |
|---|---|---|
| ELIMINATE | [features to drop] | [why they add cost but not value] |
| REDUCE | [features to simplify] | [why competitors over-serve here] |
| RAISE | [features to elevate] | [why going above standard wins users] |
| CREATE | [new value to introduce] | [what uncontested space this opens] |
Recommended positioning: [one-sentence positioning statement]
Emerging capabilities the market is moving toward. Early adoption opportunity.
| Trend | Adoption Stage | Competitors With It | Our Status | Recommendation |
|---|
Based on the full analysis, a prioritized build order:
Group into:
After generating the full output above, write the entire Competitive Gap Analysis report to a file
named docs/competitive-gap-analysis.md (create the docs/ directory if it doesn't exist).
docs/competitive-gap-analysis.md already exists, overwrite it with the latest report.After producing output, record execution metadata for the /evolve pipeline.
Check if a project memory directory exists:
~/.claude/projects/skill-telemetry.md in that memory directoryEntry format:
### /compete — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}
Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.
STRICT RULES:
NEXT STEPS:
/spec with a critical gap feature to generate implementation stories."/iterate to start building a missing feature."/build if the gap analysis reveals the product needs a major pivot or rebuild."/arch-review to assess whether the current architecture can support the identified gaps."还没有评价。欢迎分享你的使用感受。
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Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
中文简介正在准备中。当前显示原文说明。
Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards..
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Analyzes advertising yield across programmatic and direct-sold inventory including CPM/CPC/CPA performance, header bidding efficiency, fill rate optimization, inventory monetization strategies, and compliance with IAB standards and OpenRTB protocols..
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Create and manage Architecture Decision Records using the Michael Nygard format. Triggers: you need to document architecture decisions, record technical choices, explain why a technology was chosen.
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Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting..
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Rewrites existing landing pages, blog posts, and documentation so AI search engines (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini) cite them. Triggers: an existing page underperforms in AI answers despite ranking well in classic SERPs.
中文简介正在准备中。当前显示原文说明。