Documentation & Writing for Claude Code

Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.

Expert research agent specialized in leveraging Nia's knowledge tools. Use PROACTIVELY for discovering repos/docs, deep technical research, remote codebases exploration, documentation queries, and cross-agent knowledge handoffs. Automatically indexes and searches discovered resources.

Generates markdown release notes for an Octopus Deploy release by combining Octopus release/build-information data with commit details (message, author, date, diff) fetched from GitHub. Use when a user asks for release notes, a changelog, or a deployment summary for a specific Octopus Deploy project, environment, or space. Requires the Octopus Deploy MCP server and the GitHub MCP server to be configured.

Testing mode for Playwright tests

Podcast metadata and show notes specialist. Use PROACTIVELY for SEO-optimized titles, chapter markers, platform-specific descriptions, and comprehensive publishing metadata.

Audio transcription specialist. Use PROACTIVELY for extracting accurate transcripts from media files with speaker identification, timestamps, and structured output.

Expert Power BI DAX guidance using Microsoft best practices for performance, readability, and maintainability of DAX formulas and calculations.

Expert Power BI report design and visualization guidance using Microsoft best practices for creating effective, performant, and user-friendly reports and dashboards.

Generate a comprehensive Product Requirements Document (PRD) in Markdown, detailing user stories, acceptance criteria, technical considerations, and metrics. Optionally create GitHub issues upon user confirmation.

Use this agent when you need to transform synthesized research findings into a comprehensive, well-structured final report. This agent excels at creating readable narratives from complex research data, organizing content logically, and ensuring proper citation formatting. It should be used after research has been completed and findings have been synthesized, as the final step in the research process. Examples: <example>Context: The user has completed research on climate change impacts and needs

Obsidian vault quality assurance specialist. Use PROACTIVELY for cross-checking enhancement work, validating consistency, and ensuring quality across the vault.

Specification writer for Spec-Driven Development SDD — creates executable specifications that serve as unambiguous contracts for both human developers and AI agents.

Technical writing specialist for creating developer documentation, technical blogs, tutorials, and educational content

Expert-level software engineering agent. Deliver production-ready, maintainable code. Execute systematically and specification-driven. Document comprehensively. Operate autonomously and adaptively.

Generate or update specification documents for new or existing functionality.

Obsidian tag taxonomy specialist. Use PROACTIVELY for normalizing and hierarchically organizing tag taxonomy, consolidating duplicates, and maintaining consistent tagging.

Task research specialist for comprehensive project analysis - Brought to you by microsoft/edge-ai

Generate technical debt remediation plans for code, tests, and documentation.

Elite technical content editor and curriculum architect for evaluating technical training materials, documentation, and educational content. Reviews for technical accuracy, pedagogical excellence, content flow, code validation, and ensures A-grade quality standards.

Use this agent when you need to analyze code repositories, technical documentation, implementation details, or evaluate technical solutions. This includes researching GitHub projects, reviewing API documentation, finding code examples, assessing code quality, tracking version histories, or comparing technical implementations. <example>Context: The user wants to understand different implementations of a rate limiting algorithm. user: "I need to implement rate limiting in my API. What are the best

Use this agent when you need to create, improve, or maintain technical documentation including API references, user guides, SDK documentation, and getting-started guides. Specifically:\\n\\n<example>\\nContext: A development team has completed a new REST API but lacks documentation. The API includes 12 endpoints with varying authentication methods and rate limits.\\nuser: \"We need comprehensive documentation for our new payment API. It has 12 endpoints and needs guides for different user types.

Use this agent when designing visual interfaces, creating design systems, building component libraries, or refining user-facing aesthetics requiring expert visual design, interaction patterns, and accessibility considerations. Specifically:\n\n<example>\nContext: Product team needs a complete design system for a new fintech application with dark mode, multiple device sizes, and strict accessibility requirements.\nuser: \"We need to create a comprehensive design system for our fintech app. Includ

Web accessibility compliance specialist. Use PROACTIVELY for WCAG compliance audits, accessibility testing, screen reader compatibility, and inclusive design validation.

> Autonomously searches enterprise platforms to discover brand-related documents, transcripts, and design assets. Use when the user wants to build brand guidelines but doesn't know where materials are, or wants a comprehensive brand content audit. <example> Context: User wants to create brand guidelines but doesn't know what materials exist. user: "I need brand guidelines but our stuff is scattered everywhere — Notion, Confluence, Google Drive, Box..." assistant: "I'll search across your connect

> Analyzes brand documents to extract voice attributes, messaging, terminology, and examples. Use this agent when processing multiple brand documents or performing cross-document pattern recognition. <example> Context: The guideline-generation skill has received 5 brand documents to process. user: "Generate brand guidelines from these 5 documents" assistant: "I'll analyze all documents to extract brand elements..." <commentary> Multiple documents need parallel processing and cross-document patte

> Validates content and brand guidelines against brand standards. Use this agent to check compliance, consistency, completeness, and open question coverage before finalizing output. <example> Context: The brand-voice-enforcement skill has generated a cold email and wants to validate it against guidelines before presenting to the user. user: "Check this email against our brand guidelines" assistant: "Let me validate this against your brand guidelines..." <commentary> Content needs validation agai

Long-form marketing content producer orchestrating the content-production skill (research → brief → draft → optimize → gate). Use when content must. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Docs-anchored plan interrogator. Walks a plan's decision tree against the project's existing language (CONTEXT.md) and recorded decisions. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Docs-anchored plan interrogator. Walks a plan's decision tree against the project's existing language (CONTEXT.md) and recorded decisions (docs/adr/). Pre-flights the glossary + ADR linters before asking the first question. Refuses to grill in a vacuum when documented language exists. Refuses to offer ADRs unless all 3 criteria are met (hard-to-reverse, surprising-without-context, real-trade-off).

Productivity persona for writing handoff documents. Terse, no-duplication, references-not-copies. Invoke when the user signals intent to pass work to a fresh agent ('hand this off', 'summarize this for a new session', 'I'm ending this session', 'pick this up later'), or when implicit signals appear (user switching machines, ending the day mid-task, conversation growing long without a natural stopping point). Walks the mandatory handoff_prompt.md checklist before writing; runs the redaction linte

One-time email-triage onboarding persona. Conducts an 8-section interactive interview (~25-31 grill-me questions) to build a personalized knowledge base of 7 markdown files in ${WORKSPACE}/Email/ that powers the companion inbox-triage skill. Refuses to batch questions. Refuses to skip the sample-emails ask (S3). Refuses to overwrite existing files without per-file consent on re-run. Refuses to persist sensitive credentials.

Academic literature orientation persona. Walks 3 forcing intake questions (research question specificity + framework hint + tentative depth) before any search, then runs reconnaissance + targeted searches per depth tier via the free keyless lane (PubMed E-utilities + OpenAlex; Consensus MCP added only when connected), then halts at an interactive checkpoint for framework + sub-area + depth confirmation before consuming search budget. Refuses parallel search calls (1 q/sec is non-negotiable). Ref

Density-first markdown-to-HTML converter. Routes long markdown files (≥ 100 lines per Shihipar's threshold) to one of three converter sub-skills. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Density-first markdown-to-HTML converter. Routes long markdown files (≥ 100 lines per Shihipar's threshold) to one of three converter sub-skills (md-document / md-review / md-slides) via the markdown-html-orchestrator skill. Refuses below threshold or when the design-system isn't onboarded. Forks context so the full markdown body, diffs, and slide content stay out of the parent thread. Signature forcing question — "What decision does this HTML drive — is the reader skimming, deciding, or present

Course supplementary reading list persona. Walks 3 forcing intake questions (syllabus input format + course audience + year range) before parsing. Halts at grouping checkpoint after Phase 2 (proceed/merge/split/add/remove). Searches Consensus sequentially at 1 q/sec with applied-domain weaving (e.g., 'enzyme kinetics food processing' not just 'enzyme kinetics'). Calibrates summary jargon to audience (undergrad defines every term; grad assumes technical fluency). Writes Bloom higher-order discuss

Dispatched sub-agent that ingests a new source into an LLM Wiki vault. Reads the source, proposes TL;DR and key claims, identifies which. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.

Transforms a proven pattern or debugging solution into a standalone, portable skill package. Generates `SKILL.md` with proper frontmatter, reference docs, and examples that work in any project (no hardcoded paths or project-specific values). Spawned by `/si:extract` when a recurring solution should become reusable.

Dispatched sub-agent that ingests a new source into an LLM Wiki vault. Reads the source, proposes TL;DR and key claims, identifies which. Agent-native orchestrator for Claude Code, Codex, Gemini CLI.