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Why-What-Acceptance backlog format that connects every work item to strategic business objectives.

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Build confidential dApps on Solana using Inco Lightning encryption — encrypted balances, private transfers, and attested decryption

Complete guide for MagicBlock Ephemeral Rollups - high-performance Solana execution with sub-10ms latency, gasless transactions, and Solana Plugins. Use when building real-time games, high-frequency trading, or any application requiring ultra-low latency on Solana.

Complete Surfpool development environment for Solana - drop-in replacement for solana-test-validator with mainnet forking, cheatcodes, Infrastructure as Code, and Surfpool Studio. The fastest way to develop and test Solana programs.

Complete Switchboard Oracle Protocol SDK for Solana - the permissionless oracle solution for price feeds, on-demand data, VRF randomness, and real-time streaming via Surge. Covers TypeScript SDK, Rust integration, Oracle Quotes, and all Switchboard tools.

> Master Eugene Schwartz's 5 Stages of Awareness framework from "Breakthrough Advertising" (1966) to write copy that meets prospects where they are.

25+ proven headline formulas that stop the scroll, capture attention, and drive clicks. Templates and examples for every situation. Use when: Writing headlines for landing pages, ads, or articles; Creating email subject lines that get opens; Crafting social media hooks; A/B testing headline variations; Overcoming headline writer's block

> Transform AI-generated text into authentic, voice-consistent content — not by faking humanity, but by applying real voice patterns from a specific person or brand.

Design comprehensive onboarding programs with milestone-based progression, resource organization, and success measurement

Create appropriate non-disclosure agreements for different business contexts with balanced terms and proper scope definitions

Test big ideas in just 5 days. Apply Google Ventures' proven methodology to go from problem to validated prototype without months of development. Use when: **New product concepts** that need validation before building; **Big feature decisions** with significant investment required; **Stuck teams** needing to break through analysis paralysis; **Startup pivots** when direction is uncertain; **High-risk bets** where failure is expensive

Build products customers actually want. Apply Marty Cagan's Silicon Valley-tested framework to discover solutions that are valuable, usable, feasible, and viable. Use when: **New product development** when validating what to build; **Feature prioritization** to ensure you're solving real problems; **Pivot decisions** when current direction isn't working; **Team alignment** on what problems to solve; **Risk reduction** before committing development resources

> Imagine your project has failed spectacularly—then work backward to identify why. Apply Gary Klein's "prospective hindsight" technique to catch failures before they happen.

Systematically validate your business hypotheses before building anything. Master Steve Blank's Customer Development methodology that became the foundation of Lean Startup and YC's approach. Use when: **Starting a new venture** to avoid building something nobody wants; **Before writing a line of code** to validate problem-solution fit; **Pivoting decisions** to systematically test new directions; **Early-stage fundraising** to prove market validation; **Product roadmap planning** to prioritiz...

Document your business model on one page and systematically de-risk it. Master Ash Maurya's adaptation of Business Model Canvas optimized for startups and uncertainty. Use when: **Starting a new venture** to articulate and test your business model; **Preparing for customer discovery** to document hypotheses to validate; **Pivoting decisions** to compare alternative business models; **Investor conversations** to communicate your model concisely; **Team alignment** to get everyone on the same page

Create research-backed buyer personas that drive real marketing and product decisions. Combine Buyer Personas methodology with Jobs-to-be-Done to build profiles based on actual behavior, not demographics fiction. Use when: **Starting customer discovery** to define who you're validating with; **Marketing campaign planning** to target the right messages to right people; **Content strategy** to create content that resonates with specific audiences; **Product roadmap prioritization** to build fea...

Test if your solution actually solves the validated problem before building the full product. Master the art of showing concepts and prototypes to get honest feedback on solution fit. Use when: **After problem interviews** to test if your solution addresses validated problems; **Before building MVP** to validate core value proposition; **Prototype testing** to get feedback on concepts and mockups; **Feature validation** to test if new features solve real problems; **Pivoting** to test alterna...

Capture current work context for handoff to another agent/developer. Gathers git state, todos, and modified files into a structured handoff document saved to the related spec folder.

This skill should be used when extracting voice profiles from sample text, creating voice documentation, or matching a specific writing style. It applies when users provide sample text and want to capture the voice for future use.

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Comprehensive SEO analysis skill for content optimization. Use when the user asks to perform SEO analysis, keyword research, content gap analysis, search intent analysis, or wants to optimize content for search engines. Covers topic-based keyword research (informational supply and search demand), website/document analysis, and actionable SEO recommendations. Works best with InfraNodus MCP tools for real Google data access.

Create ACSL (ANSI/ISO C Specification Language) formal annotations for C/C++ programs. Use this skill when working with formal verification, adding function contracts (requires/ensures), loop invariants, assertions, memory safety annotations, or any ACSL specifications. Supports Frama-C verification and generates comprehensive formal specifications for C/C++ code.

CLI-based browser automation with persistent page state using ref-based element interaction. Use when users ask to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

Generate comprehensive API documentation from repository sources including OpenAPI specs, code comments, docstrings, and existing documentation. Use when documenting APIs, creating API reference guides, or summarizing API functionality from codebases. Extracts endpoint details, request/response schemas, authentication methods, and generates code examples. Triggers when users ask to document APIs, generate API docs, create API reference, or summarize API endpoints from a repository.

Generate test assertions from existing code implementation. Use when the user has implementation code without tests or incomplete test coverage, and needs assertions synthesized by analyzing the code's behavior, inputs, outputs, and state changes. Supports Python (pytest/unittest), Java (JUnit/AssertJ), and JavaScript/TypeScript (Jest/Chai). Handles equality checks, collections, exceptions, and state verification.

Compare runtime behavior between original and migrated repositories to detect behavioral differences, regressions, and semantic changes. Use when validating code migrations, refactorings, language ports, framework upgrades, or any transformation that should preserve behavior. Automatically compares test results, execution traces, API responses, and observable outputs between two repository versions. Provides actionable guidance for fixing deviations and ensuring behavioral equivalence.

Analyzes surviving mutants from mutation testing to identify why tests failed to detect them. Takes repository code, test suite, and mutation testing results as input. Identifies root causes including insufficient coverage, equivalent mutants, weak assertions, and missed edge cases. Automatically generates actionable test improvements and new test cases. Use when analyzing mutation testing results, improving test suite effectiveness, investigating low mutation scores, generating tests to kill surviving mutants, or enhancing test quality based on mutation analysis.

Instrument code to support efficient git bisect by producing deterministic pass/fail signals and concise runtime summaries for each tested commit. Use when debugging regressions with git bisect, automating bisect workflows, creating bisect test scripts, handling flaky tests during bisection, or needing clear exit codes and logging for automated bisect runs. Helps identify the exact commit that introduced a bug through automated testing.

Automatically generates executable tests that reproduce reported bugs from issue reports and code repositories. Use when users need to: (1) Create a test that reproduces a bug described in an issue report, (2) Generate failing tests from bug descriptions, stack traces, or error messages, (3) Validate bug reports by creating reproducible test cases, (4) Convert issue reports into executable regression tests. Takes a repository and issue report as input and produces test code that reliably triggers the reported bug.

Generate code fixes and patches from bug reports, failing test cases, error messages, and stack traces. Use this skill when debugging code, fixing test failures, addressing GitHub issues, resolving runtime errors, or patching security vulnerabilities. Analyzes the bug context, identifies root causes, and generates precise code patches with explanations and validation steps.

Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure). Use when setting up continuous deployment pipelines, creating deployment automation, or configuring multi-environment deployment strategies. Includes templates for environment-specific deployments with approval gates, secrets management, and rollback capabilities.

Generate GitHub Actions CI/CD pipeline configurations for automated building and testing of library and package projects. Use when creating or updating CI workflows for npm packages, Python packages, Go modules, Rust crates, or other library projects that need automated build and test pipelines. Includes templates for common package ecosystems with best practices for dependency caching, matrix testing, and artifact publishing.

Complete partial code snippets while satisfying specified semantic constraints. Produces compilable code, verification tests, and a detailed report explaining how each constraint was satisfied.

Automatically instruments source code to collect runtime information such as function calls, branch decisions, variable values, and execution traces while preserving original program semantics. Use when users need to: (1) Add logging or tracing to code for debugging, (2) Collect runtime execution data for analysis, (3) Monitor function calls and control flow, (4) Track variable values during execution, (5) Generate execution traces for testing or profiling. Supports Python, Java, JavaScript, and C/C++ with configurable instrumentation levels.

Automatically diagnose and repair buggy code while generating comprehensive tests to verify correctness and prevent regressions.