Compression

Concept of the skill

Data and context compression — SaaS payload optimization (Zstd, Brotli, Gzip), database storage compression, and AI context-window compression (semantic summarization, token pruning) — applied to cut API latency, storage cost, and long-running agent context pressure.

Domain Context

What is this skill? This skill provides expertise in data and context compression: SaaS payload optimization (Zstd, Brotli, Gzip), database storage compression, and AI context window compression (Semantic Summarization, Token Pruning). Use when optimizing API latency, reducing storage costs, or managing long-running agent sessions near context limits. Do NOT use for image/video lossy compression (use product-photo) or file archiving.

Grounding Sources

Use primary codec and platform references for factual claims: RFC 8878 for Zstandard, RFC 7932 for Brotli, RFC 1952 for Gzip, MDN and HTTP docs for Accept-Encoding / Content-Encoding, and PostgreSQL's TOAST and default_toast_compression documentation for database storage behavior. Keep agent context-compression guidance separate from HTTP/database codec facts: summaries are correct only when they preserve intent, outcome, and evidence paths.

Coverage

SaaS payload compression (Zstd, Brotli, Gzip algorithm selection, level tuning, content negotiation), PostgreSQL storage compression (TOAST with pglz/lz4 where supported, plus deliberate application-layer blob compression), and AI context window compression (semantic summarization, token pruning, dead context identification, state re-injection). Covers the decision tree for matching algorithms to data types, the Accept-Encoding negotiation order, and the three-phase token pruning workflow.