flowgram.ai
Development guide for creating custom nodes in FlowGram.ai workflows, supporting both auto-generated simple forms and complex custom UI components.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
510 skills found
Development guide for creating custom nodes in FlowGram.ai workflows, supporting both auto-generated simple forms and complex custom UI components.
Create interactive, custom data visualizations using d3.js — including charts, graphs, and network diagrams. Ideal for when you need fine-grained control over visual elements, transitions, and interactions.
Search, retrieve, and manage your KUNGFU.SH bookmarks programmatically to streamline your research and knowledge management workflows.
Efficiently search your Zotero library using Python code execution. Enables comprehensive multi-strategy queries, automated deduplication, and relevance ranking without context overflow or system crashes.
Generate AGENTS.md and AI configuration files (Cursor, Claude, Gemini, Copilot) for your project to streamline your vibe-coding workflow and maintain context across sessions.
Sage MCP protocol implementation for integrating external tool servers and standardized AI model context.
Generate daily and weekly planning reports from backlog and carryover state, applying WIP limits and priority rules from BaseContext.yaml with automatic git commit/push.
Manage Google Search Console indexing: track status, sync sitemaps with GSC data, handle indexing lag, and process false positives with prioritized markdown reports.
Automates the creation and maintenance of CLAUDE.md files. It monitors codebase evolution and keeps project memory in sync with file changes, structure, and build commands.
Process and generate multimedia with Google Gemini. Analyze audio, images, videos, and PDFs with high-context windows. Supports transcription, visual QA, OCR, and AI-driven image creation.
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
Systematic security assessment using STRIDE threat modeling, OWASP top 10 review, and secure coding practices for code, architecture, and infrastructure.