Research

Comprehensive guide for initializing or reorganizing agent memory and project context. Use when setting up a new project, when the user asks you to learn about the codebase, or when you need to create effective memory blocks for project conventions, preferences, and workflows.

This skill should be used when the user asks to "analyze my product", "research competitors", "find feature gaps", "create feature request", "prioritize backlog", "generate PRD", "plan roadmap", "what should we build next", "competitive analysis", "gap analysis", "sync issues", or mentions product management workflows. Provides AI-native PM capabilities for startups with signal-based feature tracking, the WINNING prioritization filter, and GitHub Issues integration with deduplication.

Universal challenge tracker with flexible cadence, intelligent insights, and cross-challenge learning detection. Use when user wants to track any personal challenge - learning, habits, building, fitness, creative, or custom. Supports daily, weekly, or N-day check-ins with type-adaptive preferences, backlog, and context files.

Systematic validation methodology for ResearchPacks and Implementation Plans. Provides scoring rubrics and quality gates to ensure outputs meet standards before proceeding to next phase. Prevents garbage-in-garbage-out scenarios.

Systematic approach for creating minimal-change, reversible implementation plans. Claude invokes this skill when transforming requirements/research into executable blueprints. Emphasizes simplicity, safety, and clear verification steps.

Systematic approach for gathering authoritative, version-accurate documentation. Claude invokes this skill when research is needed before implementation. Ensures truth over speed while achieving both.

Shared testing quality metrics and standards for cross-plugin use. Referenced by pensive:test-review and parseltongue:python-testing. Triggers: testing standards, quality metrics, coverage thresholds, test quality, anti-patterns, testing best practices, quality gates Use when: evaluating test quality, setting coverage thresholds, identifying testing anti-patterns, establishing quality standards DO NOT use when: simple scripts without quality requirements. Consult this skill when establishing testing quality standards.

Manages practice rules. Use when user states a preference or approach, or asks to add/modify rules for coding, architecture, tooling, or best practices.

Consolidate README content using language-aware exemplars, internal doc linkage, and reproducible evidence. Triggers: README update, documentation refresh, readme structure, exemplar research, language-aware docs, readme modernization, project documentation Use when: README requires structural refresh, adding features to documentation, aligning readme with exemplar standards, improving project presentation DO NOT use when: updating inline docs - use doc-updates. DO NOT use when: consolidating ephemeral reports - use doc-consolidation. Run git-workspace-review first to capture repo context.

Architecture-aware project initialization combining online research with archetype selection. Triggers: project initialization, new project, architecture decision, project setup, which architecture, choose architecture, project architecture Use when: initializing a new project and need to select an appropriate architecture based on project type, team size, domain complexity, and current best practices DO NOT use when: architecture is already decided - use project-init instead. DO NOT use when: exploring multiple architectures - use architecture-paradigms instead.

Reusable patterns and templates for Claude Code skill and hook development. Triggers: validation patterns, error handling, testing templates, workflow patterns, shared patterns, reusable templates, DRY patterns, common workflows Use when: creating new skills or hooks that need consistent patterns, implementing validation logic, setting up error handling, creating test scaffolding, referencing standard workflow structures DO NOT use when: pattern is specific to one skill only. DO NOT use when: pattern is still evolving - wait for stability. DO NOT use when: pattern is context-dependent requiring variations. Reference these patterns to validate consistency across the ecosystem.

Evaluate public API surfaces against internal guidelines and external exemplars. Triggers: API review, API design, consistency audit, API documentation, versioning, surface inventory, exemplar research Use when: reviewing API design, auditing consistency, governing documentation, researching API exemplars DO NOT use when: architecture review - use architecture-review. DO NOT use when: implementation bugs - use bug-review. Use this skill for API surface evaluation and design review.

Process external resources into actionable knowledge with evaluation, storage, and application decisions. Triggers: knowledge intake, article evaluation, paper review, external resource Use when: user shares links to articles, papers, or external resources DO NOT use when: searching existing knowledge - use knowledge-locator.

Spatial indexing and retrieval system for finding information within memory palaces using multi-modal search. Triggers: knowledge search, find information, locate concept, recall, spatial query, cross-reference, discovery, memory retrieval, pr review search, past decisions, review patterns Use when: searching for stored knowledge, cross-referencing concepts, discovering connections, retrieving from palaces, finding past PR decisions DO NOT use when: creating new palace structures - use memory-palace-architect. DO NOT use when: processing new external resources - use knowledge-intake. Consult this skill when searching or navigating stored knowledge.

Workflow for capturing evidence and citations to create reproducible analyses and audit trails. Triggers: evidence capture, citations, reproducible analysis, audit trail, documentation, evidence logging, findings documentation Use when: conducting any review that needs evidence trails, creating audit documentation, ensuring reproducibility of analyses DO NOT use when: quick informal checks without documentation needs. DO NOT use when: structured output is the focus - use structured-output. Use this skill as foundation for all evidence-based review workflows.

GitHub Spec-Kit integration for constitution-based spec-driven development. 7-phase workflow (constitution, specify, clarify, plan, tasks, analyze, implement). Use when working with spec-kit CLI, .specify/ directories, or creating specifications with constitution-driven development. Triggered by "spec-kit", "speckit", "constitution", "specify", references to .specify/ directory, or spec-kit commands.

Interactive feature development workflow from idea to implementation. Creates requirements (EARS format), design documents, and implementation task lists. Use when creating feature specs, requirements documents, design documents, or implementation plans. Triggered by "kiro" or references to .kiro/specs/ directory.

Reference for Splitrail's core data types. Use when working with ConversationMessage, Stats, DailyStats, or other type definitions.

Generate images using Nano Banana Pro (Gemini 3 Pro Preview). Use when creating app icons, logos, UI graphics, marketing banners, social media images, illustrations, diagrams, or any visual assets. Supports reference images for style transfer and character consistency. Triggers include phrases like 'generate an image', 'create a graphic', 'make an icon', 'design a logo', 'create a banner', 'same style as', 'keep the style', or any request needing visual content.

Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.