Distrikt · District
AI & LLM Tools
Claude log viewers, a skill packager, LLM price tables and small model demos
- KB PackerTurn files into a searchable .skill bundle an AI agent can install, in the browser
- LiteLLM Model PricesSortable, filterable LLM prices and context windows, live from LiteLLM's data
- Shell Doc SearchDescribe a task in plain words, get the command-line tool, from 6,397 doc pages
- cc-inspectPython script: Claude Code session logs to a markdown report, no LLM calls by default
- Claude API Response ViewerView a Claude API response saved in a gist: thinking, web searches, cited text
- Claude Audit Log ViewerOpen a Claude Enterprise audit-log zip: stats, filters, search, CSV export
- Claude PrunerKeep only the messages, artifacts and tool calls you pick from a Claude.ai chat
- Claude Skills ReleasesEvery release of claude-skills, sortable A-Z or by date, with zip downloads
- Cross-Origin Fetch ProbeCheck whether a page on this site can fetch a URL with GET, HEAD and Range requests
- Embedding InversionBrowse 1,000 recorded attempts to recover a sentence from its embedding, round by round
- Latent CalculatorSmolLM2-135M does arithmetic three ways, one with a calculator wired into its layers
- Page ScrawlDraw on any web page, note each mark, and hand the marks to Claude or paste them anywhere
- Repo SearchSearch 3,510 posts, blog entries, issues and bookmarks from two AT Protocol accounts
- Research Report ViewerOpen a JSON research report: sections, TLDRs, citations; export as HTML or Markdown
- Taxonomy SnapType a product phrase, get the nearest of 860 retail categories, in the browser
- Token Salary CalculatorCompares the cost of N tasks a day in salaries and in AI tokens, in five scenarios
Bookmarklets
Claude bookmarklets, listed from the oaustegard/bookmarklets repository on GitHub.
Essays written with AI
Three long pieces written with AI assistance: on AI in software development, a fictional framework for predicting history, and AI’s effect on society.
- Musings on AI in the Software Development Life Cycle (June 2023)
- The (Fictional) Integrative Historical Prediction (IHP) Framework (September 2024)
- The Great Acceleration: Preparing Society for Exponential AI Evolution (November 2024 to April 2025)
Readmes
README files on GitHub, for the tools that have one.