> Generate a structured daily business briefing from any data sources in under 60 seconds.

Score and prioritize your leads with AI

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Reference for Bun runtime APIs used in this project. Use this skill whenever writing code that runs shell commands (Bun.$ or Bun.spawn), reading/writing files (Bun.file/Bun.write), running tests (bun test), or configuring the monorepo (workspaces, bunfig.toml). Prefer Bun APIs over Node.js equivalents — use Bun.$ instead of child_process, Bun.file() instead of fs.readFile, bun:test instead of jest.

Project code patterns and conventions. Auto-loads when implementing, designing, verifying, or reviewing code. Provides detailed pattern definitions with code examples. Consult this whenever writing new code, reviewing changes, or trying to understand how this project structures things.

A test fixture containing synthetic security patterns for scanner testing.

Helps follow consistent git workflow practices.

Clean observability skill with legitimate URLs

A standalone test skill for use in integration tests.

Clean, optimize, and standardize SVG files. Remove metadata, editor artifacts, unnecessary attributes. Reduce file size 30-70% with zero visual change.

Technical execution standard for all coding, data engineering, SQL, Python, and implementation work with Nicholas Hidalgo. Governs code generation, documentation rules, stack preferences, testing, and analytics engineering guidance. Layers on top of claude-operator-standard (which must be active) and does not repeat communication, troubleshooting, output format, or session behavior rules. Trigger this skill for any coding task, SQL query, Python script, dbt model, React component, data pipeline, BI logic, or technical implementation request.

Evidence-based editorial pipeline that detects and removes AI writing patterns using a research-grounded rubric, preserves author facts, and gates on high-severity issues.

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Consistent radii, pixel-perfect alignment, state coverage, and the details that signal design quality. Use when polishing designs, auditing quality, or evaluating whether a design is ready to ship.

Use when the user wants development run through a boss-worker-reviewer loop, where a boss agent clarifies requirements, writes prompts, dispatches worker and reviewer subagents, reports progress after each review, and iterates in rounds with user checkpoints.

Set up branch and folder naming rules for the current project

Check all feature branches and spec folders against the configured naming

Analyze AI session patterns to suggest constitution rules or memory entries.

Audit and optimize governance documents for AI context efficiency.

Propagate spec changes downstream to plan.md and tasks.md

Update an existing spec.md in-place based on new requirements or feedback

Perform a comprehensive security review of the current codebase

Security review of changes introduced on a branch compared to a base

Security review of staged changes only (git diff --cached)

Create or update the feature specification from a natural language feature description.

Orchestrates the obra/superpowers brainstorming skill within the spec-kit

'Spec-aligned code review agent. Acts as a dedicated independent reviewer:

Systematic debugging protocol. Loads the obra/superpowers systematic-debugging

Code review response protocol. Loads the obra/superpowers receiving-code-review\

Verify the generated tasks.md covers every requirement in spec.md before

Mandatory pre-implement TDD gate. Loads the obra/superpowers test-driven-development

Create baseline documentation for the project, establishing context for

Create a bug fix workflow with regression test and minimal documentation.

Validate and reorganize spec-kit artifacts with proper numbering and

Initiate a feature deprecation workflow with phased sunset process (warnings

Create an emergency hotfix workflow with expedited process and mandatory

Incorporate documents into an existing or new workflow and advance stages

Convert development phases into individual GitHub issues for better tracking

Review completed implementation work and update task status.

Create or update project governing principles and development guidelines.

Initiate a feature deprecation workflow with phased sunset process (warnings\

'Spec-kit workflow command: enhance-constitution'

Create a feature branch with sequential or timestamp numbering

Validate current branch follows feature branch naming conventions

Documentation conventions for generating high-quality AI agent skills from TypeScript source. Use when preparing a library for skill generation, auditing JSDoc quality, fixing audit warnings, writing @useWhen/@avoidWhen/@never tags, or asking about documentation conventions for skills. Use this even if the user just says 'audit my docs', 'improve my JSDoc', or 'make my skills better'.

Generate AI agent skills from TypeScript documentation

Relentless blind-peer reviewer for Gemini 3.1 Pro. Validates every cited thesis and paper via Google Search to detect hallucinations. Generates a 'Scientific Integrity Report' saved directly to Obsidian via shell. Triggers: review paper, peer review, manuscript review, referee report, check integrity, verify citations.

Use when reviewing pull requests, reviewing your own code before committing, or when asked to review code changes. Provides structured analysis with severity categorization, security focus, and optional worktree isolation for safe PR review.

Use when encountering any bug, test failure, or unexpected behavior. Provides a structured 4-step cycle and ACH methodology for complex bugs. Replaces random guessing with evidence-based investigation.

Use when facing any non-trivial task to decide whether to handle it yourself or delegate to a subagent. Provides score-based routing, model selection, and structured prompt templates for effective delegation.