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majesticlabs-dev

majesticlabs-dev

267 Skills published on GitHub.

pm-customer-interviews

Customer interview question bank and synthesis templates for product discovery.

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add-config-field

Add new field to .agents.yml config schema (updates init.md templates, version, migration)

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claude-headless-mode

Guide for using claude CLI in headless mode with --print, output formats, and JSON schema

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fluff-detector

Detect human-oriented content in LLM artifacts. Flags attribution, personas, redundant explanations, marketing language, and decorative elements that waste tokens without improving LLM behavior.

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skill-auditor

Audit installed skills across project, global, and plugin levels. Lists skills with line counts, identifies improvement opportunities (conciseness, clarity, overlap, token waste). Use when reviewing skill quality, finding bloated skills, or optimizing token budgets.

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skill-linter

Validate skills against agentskills.io specification. Use when adding new skills to the marketplace, reviewing skill PRs, checking skill compliance, or running quality gates on skills. Validates frontmatter fields (name, description, compatibility, metadata, allowed-tools), directory naming, line limits, and structure.

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agent-sdk

Guide for Claude Agent SDK - build custom AI agents powered by Claude. Covers installation, authentication providers, tool permissions, file-based configuration, TypeScript/Python code examples, and project scaffolding templates.

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blind-spot-analyzer

Identifies the single most critical blind spot limiting founder/business growth through integrated analysis of thinking patterns and strategic gaps.

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bootstrapped-cfo

Financial frameworks for bootstrapped startups. Triggers on cash management, runway, unit economics, hiring ROI, and capital allocation questions. Emphasizes profit as constraint, not goal.

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decision-framework

Walk through decisions using a 3-part framework (first-principles, cost/benefit, second-order effects). Use when choosing between options, evaluating trade-offs, or making high-stakes decisions.

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decisions

Structured business decision-making using Tree of Thoughts methodology with expert consultants exploring multiple approaches

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document-review

Review legal documents as an experienced attorney. Analyzes contracts, ToS, privacy policies, NDAs, and corporate docs section-by-section. Identifies risks, gaps, and unfavorable terms with specific replacement text for problematic clauses.

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first-principles

Apply first-principles thinking to break down complex problems into fundamental truths and rebuild solutions from the ground up. Use when solving strategic decisions, breaking through blockers, or challenging assumptions. Triggers on first principles, Elon Musk methodology, fundamental truths, strip assumptions, physics of the problem, rebuild from scratch.

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future-back

Envision ideal future state with clarity, then reverse-engineer the pathway from vision to reality using backward planning

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idea-generation

Generate and validate startup ideas through market research, skill-market fit, and iterative refinement.

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industry-pulse

Get a real-time pulse check on any industry or niche. Includes trending technologies, notable events, key shifts, and a 10-step venture design methodology for underserved market opportunities.

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launch-legal

Minimum viable legal setup for business launches without expensive lawyers.

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market-expansion

Strategic market expansion analysis using Tree of Thoughts with quantified entry strategies, financial projections, and risk assessment

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objection-destroyer

Create powerful pitch closings with market insights, proprietary advantages, founder mission, and subtle FOMO triggers in under 45 seconds.

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omtm-growth

YC growth framework - identify One Metric That Matters, commit to 7% weekly growth, install public accountability. Focus-forcing system for early-stage startups.

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pm-assumption-mapping

Assumption mapping and product hypothesis testing frameworks for validating product ideas.

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pm-discovery

Product discovery orchestrator - routes to specialized frameworks for interviews, assumptions, JTBD, and prioritization.

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pm-jobs-to-be-done

Jobs-to-be-Done framework for understanding customer motivations and building solutions that get "hired".

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pm-one-pager

Use when writing feature briefs or decision documents. Not for full PRDs (use /majestic:prd).

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pm-prioritization

Feature prioritization frameworks - RICE scoring, ICE scoring, and Opportunity Solution Trees.

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pm-roadmap

Use when planning product roadmaps with Now/Next/Later horizons. Not for feature prioritization (use pm-prioritization).

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pmf-validation

Validate product-market fit through assumption testing, customer discovery, and MVP strategy.

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pricing-strategy

Analyze competitor pricing models to develop optimal pricing structure with psychological thresholds, value perception patterns, and implementation roadmap.

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strategic-planning

Build strategic plans for business goals. Creates one-page briefs with core objective, key milestones, leverage points, and risks. Includes people operations templates for hiring, onboarding, and performance management.

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thirty-day-launch

Tactical 30-day business launch guide with copy-paste templates and hour-by-hour schedules.

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gemini-image-coder

Generate and edit images using Google's Gemini API. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

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anomaly-detector

Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies.

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csv-wrangler

Handle messy CSVs with encoding detection, delimiter inference, and malformed row recovery.

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data-profiler

Generate data profiles with column stats, correlations, and missing patterns for DataFrames. Use for EDA and data discovery.

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data-quality

Quality dimensions, scorecards, distribution monitoring, and freshness checks. Use for data validation pipelines and quality gates.

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data-validation

Data validation patterns and pipeline helpers. Custom validation functions, schema evolution, and test assertions.

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dbt-coder

dbt (data build tool) patterns for model organization, incremental strategies, and testing.

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etl-core-patterns

Core ETL reliability patterns including idempotency, checkpointing, error handling, chunking, retry logic, and logging.

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etl-incremental-patterns

Incremental data loading patterns including backfill strategies, CDC, timestamp-based loads, and pipeline orchestration.

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etl-patterns

Production ETL patterns orchestrator. Routes to core reliability patterns and incremental load strategies.

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great-expectations

Data validation using Great Expectations. Expectation suites, checkpoints, and data docs for pipeline monitoring.

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pandas-coder

DataFrame manipulation with chunked processing, memory optimization, and vectorized operations.

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pandera-validation

DataFrame schema validation using pandera. Schema definitions, column checks, and decorator-based validation.

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parquet-coder

Columnar file patterns including partitioning, predicate pushdown, and schema evolution.

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pydantic-validation

Record-level data validation using Pydantic models. Field validators, model validators, and batch validation patterns.

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schema-discoverer

Infer schema from sample data files (CSV, JSON, Parquet) and generate type definitions.

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source-analyzer

Analyze data source characteristics including update frequency, volume patterns, and schema stability.

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sql-patterns

Advanced SQL patterns including window functions, CTEs, recursive queries, and optimization techniques.

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test-fixture-generator

Generate synthetic test data with edge cases for ETL pipeline testing.

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testing-patterns

Pytest templates and patterns for ETL pipeline testing - unit, integration, data quality.

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