Execute acceptance tests for all feature types (frontend UI, backend API, CLI, library, skills/non-code). Generates test cases from specification acceptance criteria, classifies by test type, and routes execution to the best available tool (Chrome DevTools…
Skills in this repository
Young-Z/X-IPE - Page 2
SkillsMP has collected 115 skills from Young-Z/X-IPE. Open a skill to review its source and details.
Young-Z/X-IPEShowing 40 of 115 collected skills.
Break requirements into Epics and features. Assesses scope to determine Epic grouping, then breaks each Epic into features with MVP-first criteria. Calls feature-board-management to initialize tracking. Use when requirements need to be split into discrete…
Close completed feature and create pull request. Use when feature is implemented, tested, and ready to ship. Provides procedures for final verification, PR creation, and documentation. Triggers on requests like "close feature", "create PR", "ship feature".
Refine feature specification for a single feature. Queries feature board for context, creates/updates specification document. Use when a feature needs detailed requirements. Triggers on requests like "refine feature", "detail specification", "clarify…
Create interactive examples for human validation. Human-initiated only — invoke ONLY when user explicitly requests a playground. Triggers on requests like "create playground", "human testing", "interactive demo", "I want to test this". Do NOT auto-suggest…
Create visual mockups and prototypes for refined ideas. Use after ideation when idea needs visual representation. Invokes x-ipe-tool-frontend-design skill or other mockup tools based on x-ipe-docs/config/tools.json config. Triggers on requests like "create…
Create architecture diagrams for refined ideas. Use after ideation when idea needs system architecture visualization. Generates architecture diagrams using tools from x-ipe-docs/config/tools.json (mermaid, excalidraw). Triggers on requests like "create…
Learn and refine user ideas through brainstorming. Use when user uploads idea files to Workplace. Analyzes content, asks clarifying questions, and produces structured idea summary. Triggers on "ideate", "brainstorm", "refine idea", "analyze my idea".
Gather requirements from user requests and create requirement summary. Use when starting a new feature or receiving a new user request. Triggers on requests like "new feature", "add feature", "I want to build", "create requirement".
Convert refined idea summaries to shareable document formats (PPTX, DOCX, PDF). Use when user wants to share or present an idea. Uses MCP document conversion tools or pandoc. Triggers on requests like "share idea", "convert to ppt", "make presentation",…
Create technical design for a single feature. Queries feature board, reads specification, designs solution with KISS/YAGNI/DRY principles. Creates two-part design document. Triggers on requests like "design feature", "technical design", "architecture…
General-purpose knowledge extractor that organizes content into structured markdown knowledge bases with hierarchy, embedded images, and linked overview. Use when extracting knowledge, creating structured notes, or organizing content into a knowledge base.…
Orchestrates development task lifecycle through 6-step workflow. Coordinates skills for planning, execution, closing, and routing. Use when "implement feature", "fix bug", "create PR", "design architecture", "set up project". Triggers on requests like…
Builds ontology graph (classes, instances, vocabulary) from source content through an iterative discover-critique-implement loop. Delegates JSONL I/O to scripts/ontology_ops.py. Triggers on operations like "build_ontology".
Domain expert for application reverse engineering reports. Provides framework scaffolding, rubric design, knowledge-gap analysis, and draft assembly via the 4-operation constructor interface. Triggers on operations like "provide_framework", "design_rubric",…
Domain expert for general knowledge notes construction. Implements the 4-operation constructor interface (provide_framework, design_rubric, request_knowledge, fill_structure) for notes-type knowledge bases with flexible numbered hierarchy. Triggers on…
Domain expert for user manual construction. Provides framework, rubric, knowledge gap analysis, and structure filling via a 4-operation interface. Triggers on operations like "provide_framework", "design_rubric", "request_knowledge", "fill_structure".
Orchestrator for application reverse engineering knowledge extraction. Dynamically discovers section-specific sub-skills, coordinates 3-phase execution (Scan → Tests → Deep), generates the master index, aggregates quality scores, and validates…
Provides playbook, collection template, acceptance criteria, and app-type mixins for user manual knowledge extraction. Loaded by x-ipe-task-based-application-knowledge-extractor during Phase 1. Triggers on category "user-manual".
Extracts knowledge from web sources via Chrome DevTools MCP. Scans page structure (extract_overview) and retrieves specific content sections (extract_details). Writes to .working/ staging only. Triggers on operations like "extract_overview", "extract_details".
Unified write gatekeeper for persistent memory. Stores new knowledge entries and promotes working drafts to episodic, semantic, or procedural tiers. Delegates file I/O to scripts/memory_ops.py. Triggers on operations like "store", "promote".
Search and query the knowledge base ontology for entity lookup, graph traversal, and semantic search. Use for finding knowledge entities, exploring relationships, and searching across ontology graphs. Triggers on requests like "search ontology", "query…
Look up, retrieve, and interpret instructions from user manuals stored in the knowledge base. Use when executor needs manual guidance to perform a step. Triggers on requests like "lookup user manual instruction", "get step-by-step from manual", "troubleshoot…
Provides playbook, collection template, acceptance criteria, and app-type mixins for user manual knowledge extraction. Loaded by x-ipe-task-based-application-knowledge-extractor during Phase 1. Triggers on category "user-manual".
Organize knowledge base intake files — analyze content, assign lifecycle/domain tags, generate YAML frontmatter, move to destination folders. Use when user triggers AI Librarian from KB UI or CLI. Triggers on requests like "organize knowledge base intake…
Manage tasks and features on the JSON-based project boards. Use for creating, updating, querying, and archiving tasks and features. Triggers on requests like "create task", "update task status", "query tasks", "create feature", "update feature", "query…
Look up, retrieve, and interpret instructions from user manuals stored in the knowledge base. Use when executor needs manual guidance to perform a step. Triggers on requests like "lookup user manual instruction", "get step-by-step from manual", "troubleshoot…
Record and analyze user behavior on any website for AI agent training. Injects tracker IIFE via Chrome DevTools, captures DOM events (click, dblclick, contextmenu, input, scroll, navigation, resize, focus, drag) with PII masking, and outputs structured…
Section 3 — API Contract Extraction for application reverse engineering (Phase 3-Deep). Extracts Internal APIs, External HTTP APIs, CLI Commands, WebSocket/RPC APIs, Plugin/Extension APIs, and Schema Documentation. Triggers on "API contract extraction",…
Section 1 — Architecture Recovery for application reverse engineering (Phase 3-Deep). Extracts 4-level architecture view using Architecture DSL (conceptual/logical) and Mermaid (physical/data flow). Triggers on "architecture recovery", "module view",…
Extract code structure analysis (Section 5) from a source repository during Phase 1-Scan of application reverse engineering. Produces a subfolder with subsection files covering project layout, directory structure, naming conventions, and module boundaries.…
Section 6 — Data Flow / Protocol Analysis for application reverse engineering (Phase 3-Deep). Traces end-to-end request flows, event propagation, data transformation chains, communication protocols, and async/sync boundaries. Triggers on "data flow analysis",…
Section 4 — Dependency Analysis for application reverse engineering (Phase 3-Deep). Extracts inter-module dependency graphs, external library inventories, circular dependency chains, critical hub modules, and dependency visualizations. Triggers on "dependency…
Section 2 — Design Pattern Detection for application reverse engineering (Phase 3-Deep). Detects GoF and language-specific patterns with confidence scoring and file:line citations. Triggers on "design pattern detection", "pattern inventory", "pattern scan".
Extract technology stack identification (Section 7) from a source repository during Phase 1-Scan of application reverse engineering. Produces a subfolder with subsection files covering languages, frameworks, build tools, runtime/infrastructure, and testing…
Focused tool skill for Section 8 (Source Code Tests) of application reverse engineering. Scans, catalogs, copies, and EXECUTES existing test files to validate reverse-engineered understanding. Extracts knowledge from test assertions and generates verifiable…
Orchestrator for application reverse engineering knowledge extraction. Dynamically discovers section-specific sub-skills, coordinates 3-phase execution (Scan → Tests → Deep), generates the master index, aggregates quality scores, and validates…
Standalone Python scripts for project state management — workflow actions, KB index metadata, and UIUX reference persistence. Replaces the x-ipe-app-and-agent-interaction MCP server with direct file I/O. Zero external dependencies.
Standalone Python scripts for project state management — workflow actions, KB index metadata, and UIUX reference persistence. Replaces the x-ipe-app-and-agent-interaction MCP server with direct file I/O. Zero external dependencies.
DEPRECATED — Redirects to x-ipe-tool-task-board-manager