File Ops
File manipulation and management
overseer-plan
by dmmulroy
Convert markdown planning documents to Overseer tasks via MCP codemode. Use when converting plans, specs, or design docs to trackable task hierarchies.
overseer
by dmmulroy
Manage tasks via Overseer codemode MCP. Use when tracking multi-session work, breaking down implementation, or persisting context for handoffs.
active-research
by actionbook
Deep research and analysis tool. Generates comprehensive HTML reports on any topic, domain, paper, or technology. Use when user asks to research, analyze, investigate, deep-dive, or generate a report on any subject. Supports academic papers (arXiv), technologies, trends, comparisons, and general topics.
aif-implement
by lee-to
Execute implementation tasks from the current plan. Works through tasks sequentially, marks completion, and preserves progress for continuation across sessions. Use when user says "implement", "start coding", "execute plan", or "continue implementation".
aif-improve
by lee-to
Refine and enhance an existing implementation plan with a second iteration. Re-analyzes the codebase, checks for gaps, missing tasks, wrong dependencies, and improves the plan quality. Use after /aif-plan to polish the plan before implementation.
aif-rules
by lee-to
Add project-specific rules and conventions to .ai-factory/RULES.md. Each invocation appends new rules. These rules are automatically loaded by /aif-implement before execution. Use when user says "add rule", "remember this", "convention", or "always do X".
skill-creator
by spring-ai-alibaba
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
ln-150-presentation-creator
by levnikolaevich
Builds interactive HTML presentation with 6 tabs (Overview, Requirements, Architecture/C4, Tech Spec, Roadmap, Guides). Creates presentation/README.md hub. L2 Worker under ln-100-documents-pipeline.
ln-230-story-prioritizer
by levnikolaevich
RICE prioritization per Story with market research. Generates consolidated prioritization table in docs/market/[epic-slug]/prioritization.md. L2 worker called after ln-220.
ln-403-task-rework
by levnikolaevich
Fixes tasks in To Rework and returns them to To Review. Applies reviewer feedback only for the selected task.
ln-511-code-quality-checker
by levnikolaevich
"Worker that checks DRY/KISS/YAGNI/architecture compliance with quantitative Code Quality Score. Validates architectural decisions via MCP Ref: (1) Optimality (2) Compliance (3) Performance. Reports issues with SEC-, PERF-, MNT-, ARCH-, BP-, OPT- prefixes."
ln-100-documents-pipeline
by levnikolaevich
"Top orchestrator for complete doc system. Delegates to ln-110 coordinator (project docs via 5 L3 workers) + ln-120-150 workers. Phase 4: global cleanup. Idempotent."
slack-memory-store
by krafton-ai
Comprehensive memory storage system for AI employees in IT companies who communicate via Slack. Automatically classifies and stores diverse information types (Slack messages, Confluence docs, emails, meetings, projects, decisions, feedback) in an organized folder structure with efficient indexing and retrieval. Use when managing or searching employee memory, storing conversations, documenting decisions, tracking projects, or organizing any work-related information.
company-product-context
by lofcz
Compiles comprehensive company product context from PDF documents, web research, and industry knowledge
generate-blueprints
by TheBushidoCollective
Deeply research all systems and create or update blueprints/ documentation for the entire codebase
skill-generator
by lofcz
Generates complete Anthropic SKILL packages with proper structure, documentation, and automated download verification.
figma-designer
by zhaono1
Analyzes Figma designs and generates implementation-ready PRDs with detailed visual specifications. Use when user provides Figma link or uploads design screenshots. Requires Figma MCP server connection.
convention-learner
by codewithmukesh
Detects and enforces project-specific coding conventions by analyzing existing codebase patterns. Learns naming conventions, folder structure, test organization, and coding style from the existing code. Load when: "conventions", "coding standards", "project patterns", "enforce style", "detect patterns", "learn conventions", "code consistency".
qdrant
by giuseppe-trisciuoglio
Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.
ln-601-semantic-content-auditor
by levnikolaevich
Semantic content auditor (L3 Worker). Verifies document content matches stated SCOPE, aligns with project goals, and reflects actual codebase state. Called by ln-600 for each project document. Returns scope_alignment and fact_accuracy scores with findings.
split-memory
by codewithmukesh
Modular CLAUDE.md management strategy for projects that outgrow a single instruction file. Covers when and how to split a monolithic CLAUDE.md into multiple files, organizing by concern, module, or team. Includes precedence rules to prevent conflicting instructions. Load this skill when CLAUDE.md exceeds 300 lines, when multiple teams need different instructions, when the user mentions "split CLAUDE.md", "modular instructions", "too long", "organize instructions", or "multiple CLAUDE files".
session-management
by codewithmukesh
End-to-end session lifecycle management for .NET projects. Handles session start (load handoff, MEMORY.md, instincts, detect .NET solution), session end (capture completed work, persist learnings, write handoff), and context preservation across sessions. Load this skill when starting a new session, ending a session, when the user says "new session", "pick up where we left off", "what were we working on", "session start", "session end", "handoff", "context", "resume", or when Claude needs to bootstrap itself in an unfamiliar project.
detect-product
by parhumm
Product reality extraction with evidence-backed features, monetization, and metrics. Use when analyzing product capabilities.
detect-design
by parhumm
Design system detection with drift findings and evidence blocks. Use when auditing design system consistency.