productivity▌

Automate Notion databases and workflows with cross-platform integrations, templates, and intelligent triggers. Based on n8n's Notion workflow templates.

Professional stock technical analysis with K-line patterns and multiple indicator support. \n \n Analyzes A-shares, Hong Kong stocks, and US equities using candlestick patterns (head-and-shoulders, double tops/bottoms, triangles) and technical indicators (MA, MACD, KDJ, RSI, Bollinger Bands) \n Identifies support/resistance levels, trend direction, and overbought/oversold conditions through indicator crossovers and divergences \n Delivers structured analysis reports covering trend assessment, in

CSF3-compliant Storybook stories that showcase component variations with type safety and consistent structure. \n \n Enforces Component Story Format 3 with TypeScript type annotations, default meta exports, and story object syntax \n Covers story organization patterns for buttons, forms, layouts, data-driven components, and responsive designs \n Includes best practices for extending stories, using decorators for context, and adding descriptive parameters for documentation \n Identifies anti-patt

Structured canvas for evaluating AI product ideas across outcomes, hypotheses, risks, and positioning. \n \n Synthesizes 10 strategic components: business outcomes, customer outcomes, problem framing, solution hypotheses, positioning, assumptions, PESTEL risks, value justification, success metrics, and next steps \n Designed for AI-specific uncertainty; treats solutions as testable bets rather than commitments, with lightweight \"Tiny Acts of Discovery\" experiments built in \n Outcome-driven fr

Schema definition, catalog creation, and spec streaming for AI-driven JSON rendering. \n \n Define schemas with typed specs and component catalogs using defineSchema and defineCatalog ; generate AI prompts automatically or with custom rules \n Support dynamic prop expressions including state binding ( $state , $bindState ), conditionals ( $cond ), templates, and computed functions \n Stream AI responses as JSONL patches using createSpecStreamCompiler for progressive spec building \n Built-in val

Comprehensive guide for optimizing React Three Fiber and Poimandres ecosystem code across 70+ rules. \n \n Covers 12 priority-ranked categories from performance and re-renders (critical) through physics and debug tools, with rule prefixes for quick reference \n Emphasizes avoiding setState in useFrame, isolating React state, using Zustand selectors, and memoizing expensive components to prevent excessive re-renders \n Includes patterns for useFrame animation with delta time, Drei helpers (useGLT

Search and analyze your complete conversation history using jq and rg. \n \n Session logs stored as append-only JSONL files at ~/.openclaw/agents/<agentId>/sessions/ , indexed by session ID with full message transcripts including role, timestamp, content type, and token cost \n Extract user messages, assistant responses, tool calls, and metadata using jq filters; search across all sessions or within specific files using rg for keyword matching \n Common patterns provided for listing session

Note: Neki is not yet a released product, but will be available soon. Information here will be updated regularly.

Analyzes security risks, threats, and vulnerabilities using industry frameworks like STRIDE, MITRE ATT&CK, and CIA triad. \n \n Applies threat modeling, attack surface analysis, and defense-in-depth principles to identify security weaknesses across systems, applications, and architectures \n Evaluates confidentiality, integrity, and availability risks; assesses threat actors, attack vectors, and defensive control effectiveness \n Provides incident analysis, vulnerability assessment, securit

Tinybird configuration rules, SQL patterns, and optimization guidance for datasources, pipes, endpoints, and materialized views. \n \n Covers 13 rule categories including project structure, datasource and pipe design, endpoint schemas, materialized views, copy pipes, connections, SQL best practices, and deduplication patterns \n Emphasizes local files as source of truth, MergeTree as default table engine, and SELECT-only SQL with strict parameter handling \n Provides optimization strategies: fil