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    project-intelligence-suite v1.2

    1

    Master orchestrator that routes engineering tasks to 18 specialized AI skills with persistent project context.

    $5.99

    /mo

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    • Delivered live to your agent via MCP
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    project-intelligence-suite v1.2

    project-intelligence-suite v1.2

    Example session with this skill installed

    I just pushed a TypeScript service to staging and it's crashing with this error:

    TypeError: Cannot read properties of undefined (reading 'userId')
    at AuthGuard.canActivate (auth.guard.ts:24:38)
    at RouterExplorer.applyCallbackToRouter (router-explorer.js:148)
    at NestFactory.create (nest-factory.js:91)

    Here's auth.guard.ts:

    @Injectable()
export class AuthGuard implements CanActivate {
  canActivate(context: ExecutionContext): boolean {
    const request = context.switchToHttp().getRequest();
    const token = request.headers.authorization?.split(' ')[1];
    const decoded = jwt.verify(token, process.env.JWT_SECRET);
    return decoded.userId !== undefined;
  }
}

    What's the root cause and fix?

    • Read your context and instructions
    • Compiled the project-intelligence-suite v1 2

    Bug Hunter — TRACE

    Bug Type: CRASH — Unhandled exception on null dereference
    Confidence: [C:9]
    Severity: [R:CRITICAL]

    Root Cause

    jwt.verify() throws a JsonWebTokenError when token is undefined (missing Authorization header) or invalid. The thrown error is not caught, causing the unhandled exception. This is triggered on any unauthenticated request or when the Authorization header is malformed.

    Stack Analysis

    Threw at: auth.guard.ts:24 — AuthGuard.canActivate
    Called by: router-explorer.js:148 — RouterExplorer (framework internal)
    Root: auth.guard.ts:23 — jwt.verify() with potentially undefined token
    Cause: jwt.verify() throws synchronously; no try/catch present

    Fix [Confidence: 9/10]

    File: auth.guard.ts:20–27

    // Before

    const token = request.headers.authorization?.split(' ')[1];
const decoded = jwt.verify(token, process.env.JWT_SECRET);
return decoded.userId !== undefined;

    // After

    const authHeader = request.headers.authorization;
if (!authHeader?.startsWith('Bearer ')) return false;
const token = authHeader.split(' ')[1];
try {
  const decoded = jwt.verify(token, process.env.JWT_SECRET) as JwtPayload;
  return typeof decoded.userId !== 'undefined';
} catch {
  return false;
}

    Related Risks

    • Any other guard using jwt.verify without try/catch — same crash [C:8][R:HIGH]
    • process.env.JWT_SECRET undefined in production → jwt.verify throws [C:6][R:CRITICAL]

    Prevention

    • Add test: assert canActivate returns false (not throws) when Authorization header is absent
    • Enable @typescript-eslint/no-unsafe-call to catch untyped jwt.verify return
    $5.99/mo

    Subscription · always the latest version

    • Secure checkout via Stripe
    • Cancel anytime
    • Delivered live via MCP (optional)

    What you get

    Route complex engineering requests to specialized sub-agents automatically.Maintain persistent local project context to avoid redundant codebase scans.Execute multi-step workflows like refactor-test-document in one prompt.Standardize risk and confidence scoring across all development tasks.Review a pull request before merging and get a scored APPROVE/BLOCK verdictDebug a production crash with root cause analysis and a minimal fixPlan a safe migration from one framework or database to anotherGenerate a complete README, API docs, and inline comments for undocumented codeGet consensus from 7 engineering roles before a high-stakes technical decisionEstimate complexity and hidden risks in an implementation planWrite a professional CHANGELOG from commit history before a releaseDetect performance bottlenecks and get optimized SQL or algorithm rewritesDefine a testing strategy and generate test cases for a new featureCreate an Architecture Decision Record for a design choice

    About this skill

    Project intelligence pro suite

    Transform your AI coding assistant into a complete software engineering platform.

    Project Intelligence PRO Suite is a professional engineering framework that combines 18 specialist AI skills, a shared project context, intelligent task routing, and optional Model Context Protocol (MCP) integration to deliver consistent, production-quality software engineering across the entire development lifecycle.

    Instead of isolated prompts, every specialist works together using shared engineering standards, persistent project understanding, and coordinated workflows.

    ────────────────────────

    WHAT'S INCLUDED

    18 Specialist Engineering Skills

    Core Engineering

    • 01 · Project Intelligence Pro — Repository discovery, project understanding and Persistent Context (PCB)

    • 02 · Code Review Pro — Professional code reviews with evidence-based recommendations

    • 03 · Bug Hunter — Root-cause analysis, debugging and regression investigation

    • 04 · Test Architect — Unit, integration, E2E and testing strategy

    • 05 · Architecture Advisor — System architecture and technical decision support

    • 06 · Refactoring Pro — Safe, incremental refactoring and technical debt reduction

    • 07 · Documentation Generator — Technical documentation, API references and runbooks

    • 08 · Release Planner — Deployment planning, validation and rollback strategies

    • 09 · Migration Planner — Framework, language, cloud and infrastructure migrations

    • 10 · Changelog Writer — Professional release notes following Keep a Changelog and Semantic Versioning

    Advanced Engineering

    • 11 · Tech Lead — Senior engineering guidance and implementation planning

    • 12 · Performance Optimizer — Performance analysis and optimisation

    • 13 · Engineering Council — Multi-specialist engineering consensus

    • 14 · Dependency Mapper — Dependency graphs, architectural drift and coupling analysis

    • 15 · Observability Advisor — Logging, metrics and operational visibility

    • 16 · API Designer — API architecture, contracts and interface design

    • 17 · DevOps Advisor — CI/CD, infrastructure and deployment engineering

    • 18 · Security Hardener — Security analysis based on OWASP Top 10 and modern engineering practices

    ────────────────────────

    WHY IT'S DIFFERENT

    Unlike traditional prompt collections, Project Intelligence PRO Suite functions as a coordinated engineering framework.

    Every specialist shares

    • Persistent Project Context (PCB)
    • Shared engineering standards
    • Intelligent task routing
    • Consistent output formats
    • Evidence-based recommendations
    • Confidence and risk scoring
    • Cross-skill orchestration

    The result is more accurate analysis, fewer repeated prompts and consistent engineering decisions throughout an entire development session.

    ────────────────────────

    OPTIONAL MCP INTEGRATION

    Project Intelligence PRO Suite optionally integrates with a dedicated Model Context Protocol (MCP) server.

    The MCP server performs deterministic engineering tasks including:

    • Repository scanning
    • Git history analysis
    • Secret detection
    • Dependency graph generation
    • Circular dependency detection
    • Dead code discovery

    The AI focuses on reasoning while MCP handles structured data collection, producing faster analysis, lower token usage and more reliable engineering results.

    Every skill automatically falls back to standard analysis when MCP is unavailable.

    ────────────────────────

    BUILT FOR MODERN AI DEVELOPMENT

    Designed specifically for AI-assisted software engineering.

    Features include

    • Persistent Project Context (PCB)
    • Intelligent Skill Orchestration
    • Progressive Repository Discovery
    • Engineering Confidence & Risk Scoring
    • Token-Optimised Workflows
    • Graceful MCP Fallback
    • Professional Engineering Outputs
    • Cross-Skill Collaboration

    ────────────────────────

    UNIVERSAL COMPATIBILITY

    Built on the open SKILL.md standard.

    Compatible with

    • Claude Code
    • Codex CLI
    • Cursor
    • GitHub Copilot
    • Gemini CLI
    • Kiro
    • OpenCode
    • Cline
    • Roo Code
    • OpenClaw
    • Any SKILL.md-compatible AI coding assistant

    No vendor lock-in.

    No proprietary runtime.

    ────────────────────────

    LANGUAGE & FRAMEWORK AGNOSTIC

    Supports virtually every modern technology stack, including

    TypeScript • JavaScript • Python • Go • Java • Kotlin • Rust • C# • C++ • Swift • PHP • Ruby • SQL

    Ideal for

    • Web Applications
    • Mobile Apps
    • Desktop Software
    • APIs
    • Microservices
    • Cloud-Native Systems
    • Enterprise Platforms
    • Embedded Software
    • Open Source Projects

    ────────────────────────

    WHY PROJECT INTELLIGENCE PRO SUITE?

    Project Intelligence PRO Suite establishes a shared engineering understanding that every specialist can build upon.

    <strong>Benefits include

    </strong>
    • Faster engineering workflows
    • Reduced repetitive prompting
    • Better architecture decisions
    • Improved code quality
    • Higher review confidence
    • Better documentation
    • Lower AI token usage
    • Production-ready engineering guidance

    Whether you're an independent developer, startup, consultancy or enterprise engineering team, Project Intelligence PRO Suite helps you build better software with greater speed, consistency and confidence.

    ────────────────────────

    INCLUDED

    • 18 Specialist Engineering Skills

    • Master Orchestrator

    • Persistent Project Context (PCB)

    • Intelligent Cross-Skill Routing

    • Engineering Confidence & Risk Model

    • Token-Optimised Workflows

    • Optional MCP Integration

    • Universal SKILL.md Compatibility

    • Lifetime Updates for all v1.x releases

    **One suite. Eighteen specialists. One engineering workflow.**PROJECT INTELLIGENCE PRO SUITE

    Transform your AI coding assistant into a complete software engineering platform.

    Project Intelligence PRO Suite is a professional engineering framework that combines 18 specialist AI skills, a shared project context, intelligent task routing, and optional Model Context Protocol (MCP) integration to deliver consistent, production-quality software engineering across the entire development lifecycle.

    Instead of isolated prompts, every specialist works together using shared engineering standards, persistent project understanding, and coordinated workflows.

    ────────────────────────

    WHAT'S INCLUDED

    18 Specialist Engineering Skills

    Core Engineering

    • 01 · Project Intelligence Pro — Repository discovery, project understanding and Persistent Context (PCB)

    • 02 · Code Review Pro — Professional code reviews with evidence-based recommendations

    • 03 · Bug Hunter — Root-cause analysis, debugging and regression investigation

    • 04 · Test Architect — Unit, integration, E2E and testing strategy

    • 05 · Architecture Advisor — System architecture and technical decision support

    • 06 · Refactoring Pro — Safe, incremental refactoring and technical debt reduction

    • 07 · Documentation Generator — Technical documentation, API references and runbooks

    • 08 · Release Planner — Deployment planning, validation and rollback strategies

    • 09 · Migration Planner — Framework, language, cloud and infrastructure migrations

    • 10 · Changelog Writer — Professional release notes following Keep a Changelog and Semantic Versioning

    Advanced Engineering

    • 11 · Tech Lead — Senior engineering guidance and implementation planning

    • 12 · Performance Optimizer — Performance analysis and optimisation

    • 13 · Engineering Council — Multi-specialist engineering consensus

    • 14 · Dependency Mapper — Dependency graphs, architectural drift and coupling analysis

    • 15 · Observability Advisor — Logging, metrics and operational visibility

    • 16 · API Designer — API architecture, contracts and interface design

    • 17 · DevOps Advisor — CI/CD, infrastructure and deployment engineering

    • 18 · Security Hardener — Security analysis based on OWASP Top 10 and modern engineering practices

    ────────────────────────

    WHY IT'S DIFFERENT

    Unlike traditional prompt collections, Project Intelligence PRO Suite functions as a coordinated engineering framework.

    Every specialist shares

    • Persistent Project Context (PCB)
    • Shared engineering standards
    • Intelligent task routing
    • Consistent output formats
    • Evidence-based recommendations
    • Confidence and risk scoring
    • Cross-skill orchestration

    The result is more accurate analysis, fewer repeated prompts and consistent engineering decisions throughout an entire development session.

    ────────────────────────

    OPTIONAL MCP INTEGRATION

    Project Intelligence PRO Suite optionally integrates with a dedicated Model Context Protocol (MCP) server.

    The MCP server performs deterministic engineering tasks including:

    • Repository scanning
    • Git history analysis
    • Secret detection
    • Dependency graph generation
    • Circular dependency detection
    • Dead code discovery

    The AI focuses on reasoning while MCP handles structured data collection, producing faster analysis, lower token usage and more reliable engineering results.

    Every skill automatically falls back to standard analysis when MCP is unavailable.

    ────────────────────────

    BUILT FOR MODERN AI DEVELOPMENT

    Designed specifically for AI-assisted software engineering.

    Features include

    • Persistent Project Context (PCB)
    • Intelligent Skill Orchestration
    • Progressive Repository Discovery
    • Engineering Confidence & Risk Scoring
    • Token-Optimised Workflows
    • Graceful MCP Fallback
    • Professional Engineering Outputs
    • Cross-Skill Collaboration

    ────────────────────────

    UNIVERSAL COMPATIBILITY

    Built on the open SKILL.md standard.

    Compatible with

    • Claude Code
    • Codex CLI
    • Cursor
    • GitHub Copilot
    • Gemini CLI
    • Kiro
    • OpenCode
    • Cline
    • Roo Code
    • OpenClaw
    • Any SKILL.md-compatible AI coding assistant

    No vendor lock-in.

    No proprietary runtime.

    ────────────────────────

    LANGUAGE & FRAMEWORK AGNOSTIC

    Supports virtually every modern technology stack, including

    TypeScript • JavaScript • Python • Go • Java • Kotlin • Rust • C# • C++ • Swift • PHP • Ruby • SQL

    Ideal for

    • Web Applications
    • Mobile Apps
    • Desktop Software
    • APIs
    • Microservices
    • Cloud-Native Systems
    • Enterprise Platforms
    • Embedded Software
    • Open Source Projects

    ────────────────────────

    WHY PROJECT INTELLIGENCE PRO SUITE?

    Project Intelligence PRO Suite establishes a shared engineering understanding that every specialist can build upon.

    <strong>Benefits include

    </strong>
    • Faster engineering workflows
    • Reduced repetitive prompting
    • Better architecture decisions
    • Improved code quality
    • Higher review confidence
    • Better documentation
    • Lower AI token usage
    • Production-ready engineering guidance

    Whether you're an independent developer, startup, consultancy or enterprise engineering team, Project Intelligence PRO Suite helps you build better software with greater speed, consistency and confidence.

    ────────────────────────

    INCLUDED

    • 18 Specialist Engineering Skills

    • Master Orchestrator

    • Persistent Project Context (PCB)

    • Intelligent Cross-Skill Routing

    • Engineering Confidence & Risk Model

    • Token-Optimised Workflows

    • Optional MCP Integration

    • Universal SKILL.md Compatibility

    • Lifetime Updates for all v1.x releases

    One suite. Eighteen specialists. One engineering workflow.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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