Knowledge Bases Agent Skills

Builds and maintains a persistent, interlinked Obsidian knowledge base by incrementally ingesting sources, updating entity/concept pages, and keeping cross-references current.

Logs board meeting decisions with a two-layer memory architecture, separating raw transcripts from approved decisions, and provides commands to review past decisions and overdue action items.

Analyze a codebase and generate onboarding documentation for engineers, tech leads, and contractors, with fast fact-gathering and repeatable outputs.

Author, validate, and clean up company SOPs and internal runbooks with 5W2H completeness checks, cross-link validation, and KB hygiene reporting.

Answers questions about a code repository by analyzing source files, providing evidence-based explanations with inline citations.

Generates llms.txt and llms-full.txt files that provide LLM-friendly access to wiki documentation, following the llms.txt specification.

Analyzes code repositories and generates hierarchical documentation structures with onboarding guides.

Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth.

Answers questions about a codebase by searching and reading source files, providing answers with inline citations and structured responses.

Capture conversations and decisions into structured Notion pages for easy reuse as wiki entries, how-tos, decisions, or FAQs with proper linking.

Search Notion pages, synthesize findings, and publish structured briefs, summaries, comparisons, or reports with citations and source links.

Generate comprehensive technical documentation for developers taking over an AEM Edge Delivery Services project, covering architecture, design system, blocks, and configuration.

Guides users through a structured workflow for co-authoring documentation, proposals, technical specs, and decision docs across three stages: context gathering, iterative refinement, and reader testing.

Load curated project context from Copilot Spaces to ground answers in team documentation, code, and instructions.

Generates a comprehensive AGENTS.md file at the repository root to provide AI coding agents with project context, setup commands, development workflows, testing instructions, and code style guidelines.

Maps, documents, and onboards into an existing codebase by generating seven structured documents covering stack, structure, architecture, conventions, integrations, testing, and concerns.

Audits a research knowledge base for stale profiles, thesis drift, and orphan pages, returning a 0-100 health score with actionable recommendations.

Capture conversations and decisions into structured Notion pages for easy reuse as wiki entries, how-tos, decisions, or FAQs with proper linking.

Search and fetch Notion pages, synthesize findings, and publish structured briefs, summaries, comparisons, or reports with citations and source links.

Creates a new recurring workstream (loop) in a file-based knowledge base: scaffolds the domain folder, runs a real test cycle, and records the result in the timeline and log.

Build and review high-quality technical documentation, including agent instruction files and contributor-governance files, with support for audits, multilingual parity, and sub-agent orchestration.

Turns any long-running domain (business, relationships, health, career, learning, investing) into a local knowledge project with four layers, source tags, immutable snapshots, and a concept library that learns patterns over time.

Turns a local folder into a searchable, maintainable knowledge base for AI agents, handling setup, navigation, content ingestion, querying, and health checks without external databases or RAG systems.

Mantém a documentação técnica viva no Notion e no repositório, gerando runbooks, inventários, ADRs e procedimentos a partir da infraestrutura real.

Scans repositories for markdown and HTML documentation, classifies files as repo-local or centralizable content, generates an inventory report, and optionally consolidates content into a centralized docs repository.

Bootstraps a two-part _docs directory (_build/ for technical docs, _public/ for research and proposals) with a CONSTITUTION.md governing the split, and can audit or migrate an existing structure.

Documents the original sources, licenses, and attribution notes for skills in this collection, including those adapted from HackTricks, OWASP, and community repositories.

Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax for use in Obsidian notes.

Writes documentation optimized for AI agent consumption, including SKILL.md, README, and API docs, using layered context hierarchies and RAG-friendly formatting.

Builds AI skills from documentation, repos, PDFs, videos, and other sources using the Skill Seekers MCP server, with source detection, scraping, enhancement, packaging, and vector DB export.

Publishes text, markdown, or files to nosi.pub and returns a shareable URL, handling registration and API key retrieval.

Routes requests into the correct obsidian-mind mode: install, daily session loop, capture, review, maintenance, multi-agent wiring, or semantic search, using a ready-made Obsidian vault template for persistent agent memory.

Query Google NotebookLM notebooks using Gemini's source-grounded answers. Automates browser-based authentication, notebook management, and question-answering workflows.

Bootstraps AGENTS.md and CLAUDE.md for AEM 6.5 LTS projects, tailored to project structure and detected add-ons.

Manages a long-term Markdown knowledge base for software projects, capturing architecture, decisions, and conventions in `.lore/` with commands to init, sync, query, audit, compress, and mirror to platform files.

Reviews unverified wiki pages flagged as explored: false, presenting them for human confirmation, editing, skipping, or deletion, and updating their status accordingly.