Agent Skills for Context Engineering skill
A library of Claude Code Agent Skills covering context fundamentals, context compression, context optimization, memory systems, multi agent patterns, tool design and evaluation, each shipped with worked examples.
What it does for you: This is a ready made set of context engineering patterns YY can read and adapt directly into AXION Skills, including a context compression skill and a memory systems skill that map onto the exact context budget failures this newsletter pipeline itself has had. It is file based, so Hermes can use the same skill files without any SDK integration work.
In practice: Unusually rigorous for a skills repo, dated benchmark tables instead of just claims, worth reading the context compression and memory files directly.
For: Both runtimes. Ships as plain Claude Code Agent Skill files, markdown plus examples, no Claude Code only API calls, so Hermes or any file based agent runtime can read and apply the same files.
Verdict: build now. Low cost to adopt, file based, directly answers a context budget problem Axion already has, self reported benchmarks still worth a second look before quoting the numbers.
Build #1 Agent Skills for Context Engineering: use the ai-implementation-build-intake skill to build this safely. Source: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering. Save canonical skill/agent under AXION\Skills and AXION\Agents.
Source · About 18.1k GitHub stars per the repo About sidebar, not independently cross checked against a second source. Router benchmark published as three sweeps of 50 prompts by 4 models by 3 replications, 600 calls each, dated 2026 05 15, 2026 05 15 v2 and 2026 05 19. Context fundamentals skill rewrite reported top 1 accuracy rising from 0.255 to 0.489, a 23.4 percentage point gain, self published by the same author.