conversation-log
Systematic technical conversation logging for developers and engineers. Captures decisions, implementation details, and session outcomes with factual precision.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
170 skills found
Systematic technical conversation logging for developers and engineers. Captures decisions, implementation details, and session outcomes with factual precision.
Manually import markdown files into the Kurt database, fix ingestion errors, and manage document metadata via local file system synchronization.
Read and analyze any data file (CSV, JSON, Parquet, Avro, Excel, etc.) or remote URL (S3, HTTPS) using DuckDB. Automatically detect file formats and preview/profile datasets.
Manage Obsidian vault operations: file creation, YAML frontmatter, wiki-links, and templated note processing for PKM systems.
Configure and manage Snowflake connections for CLI, Streamlit, and Snowpark environments, including authentication methods like SSO, key pair, OAuth, and profile management.
Standardize git remote configuration and issue tracking for contributors working with forked repositories in the libuipc project.
CLI tool that automatically renames academic PDF files using AI-extracted metadata, supporting multiple providers like Claude, OpenAI, Gemini, and Ollama.
Provides a standardized template and guidelines for creating agents.md files to deliver project-specific context to AI coding assistants.
Fetch and analyze current trending programming models from OpenRouter. Ideal for selecting models for reviews, optimizing AI costs, and staying updated on AI coding trends with real-time pricing and context window data.
Evidence-first literature collector for automated research pipelines. Scales paper pools to 1200+ with metadata normalization, provenance tracking, and multi-source ingestion.
Manage GitHub workflows, issues, and pull requests directly from your terminal using the gh CLI within OpenClaw.
Discover and configure Redpanda Connect components like inputs, outputs, and processors to build efficient streaming data pipelines.