By dkritarth
Claude API and SDK documentation skill for building LLM-powered applications
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
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Marketplace of highly fine-tuned skills, generated by me.
MVP built: .claude-plugin/marketplace.json plus all three skills
implemented. Distribution model: a personal Claude Code plugin
marketplace, following the existing ~/.claude/plugins/marketplaces/
pattern (like caveman), not standalone skill repos.
.writing-journal.md),
forward-looking brief loop, and helper scripts implemented and
functionally tested. Not yet validated against a real personal draft
(PLAN.md's success criterion) — that's the next milestone.sympy_verify.py is a real, tested
symbolic/numeric verification round-trip, clearing PLAN.md's ship
condition rather than folding into LATEX.See PLAN.md for the full concept: problem statement, decisions, skill
specs, phased milestones, success criteria, and risks. See AGENTS.md and
CLAUDE.md for how to build and test skills in this repo.
npx claudepluginhub dkritarth/skills-marketplace --plugin document-skillsImported skill: academic-humanizer.
Imported skill: cloudflare-one.
Proof structure enforcement (claim/assumptions/proof/where-used) plus a real SymPy verification round-trip for symbolic and numeric sub-claims, with Lean-formalization candidates flagged (not forced).
Narrow-scoped LaTeX skill: venue templates, compile-error log triage (points at the actual offending file/line), and bib hygiene (duplicate keys, missing fields).
Paper-writing skill that tracks a draft's modification history across sessions via a per-draft journal file backed by git, and infers the draft's forward trajectory (not just past diffs). The flagship skill in this marketplace.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
v9.54.1 — Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Build and maintain an LLM-curated personal knowledge base with default local FastEmbed + sqlite-vec search, BM25 fusion, structured evidence, incremental caching, and a compiled graph layer.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich documentation with dark-mode VitePress sites, onboarding guides, deep research, and source citations. Inspired by OpenDeepWiki and deepwiki-open.
Remove signs of AI-generated writing from text, making it sound more natural and human. Based on Wikipedia's "Signs of AI writing" guide.