Claude prompt cache

Claude API is Anthropic's application programming interface for building software with Claude models. The cited material describes prompt caching, which reuses prompts to reduce token costs, along with console diagnostics for monitoring cache hit rates. The name is also used in the material for a Claude Code skill that provides awareness of Anthropic's SDKs and APIs.

Prompt Audit is a Claude Code skill, also callable through the Claude API, that examines prompts, skills, and tools for outdated or conflicting practices. It identifies anti-patterns such as instructing a model to “think step by step,” unnecessary verification rituals, and contradictory rules, then removes those patterns. The videos describe it as a way to improve model performance and reduce usage costs.

effortless is an MIT-licensed Claude Code plugin that automatically selects the reasoning effort for each prompt using a judge model, so simple prompts can use lower effort while harder tasks use higher effort. It uses Haiku 5.5 by default, with optional Jev judging through TypeSafe, and keeps short follow-ups at the previously selected effort. A status bar shows the selected effort and model, context usage, prompt-cache time, judge explanation, usage warnings, and controls for compaction or handing a session off to a fresh chat. Handoff creates a summary and continues in a new chat; compaction uses Haiku 5.5 by default and falls back to Claude Code's normal compaction if needed. An experimental setting can route simple prompts to a cheaper model, but it is disabled by default because switching models can require rebuilding the prompt cache. The plugin runs locally as Claude Code hooks, provides commands for settings, benchmarking, diagnostics, statistics, handoff, and updates, and can be installed through Claude Code's plugin marketplace.

claude-db is a persistent-memory and code-graph system for Claude Code. It captures project context through hooks and injects recalled context into prompts, while its MCP server provides text search, symbol-usage, code-explanation, and dependency-path modes. Memory uses SQLite by default and can be configured to use shared MongoDB or PostgreSQL storage. The `scan` command builds the code graph and hashes files so later scans re-parse only changed files; TypeScript, TSX, JavaScript, Python, Go, Rust, and Ruby receive structured parsing, while other listed languages are analyzed by pattern matching with inferred references. It is distributed as an npm CLI and can install its Claude Code hooks and MCP configuration per project.

Claude-Mem is an open-source persistent-memory plugin and service for coding agents. It captures agent activity through lifecycle hooks, stores sessions, observations, and summaries in SQLite, and uses hybrid full-text and Chroma vector search to retrieve relevant context across sessions. Its MCP search workflow uses progressive disclosure: the agent first searches a compact index, then reviews a timeline, and finally fetches full observations for selected result IDs. A local worker service, managed by Bun, provides the HTTP API, search endpoints, and web viewer; the project also supports integrations with Claude Code and other listed agent environments, configurable context injection, private-content exclusion tags, and optional cloud synchronization. The repository states that it is distributed under the Apache License 2.0 and requires Node.js 20 or later, with Bun, uv, and SQLite used by the runtime. It can be installed through its npx installer or Claude Code's plugin marketplace.