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Skills/AI & Agent Building
muratcankoylan avatar

Project Development

muratcankoylan/agent-skills-for-context-engineering

Before you write a single line of code for an LLM project, this walks you through whether an LLM is even the right choice for your task.

installs
163
GitHub stars
18.2K
last updated
May 26, 2026
View on GitHubSave

Install

$ npx -y skills add muratcankoylan/agent-skills-for-context-engineering --skill project-development --agent claude-code

Installs into .claude/skills of the current project.

Sponsors

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What it does

It covers the full project lifecycle: evaluating task-model fit with those handy proceed-or-stop tables, running manual prototypes to validate quality, designing multi-stage pipelines with the acquire-prepare-process-parse-render pattern, and using the file system as your state machine for natural caching and idempotency. The structured output design section is especially practical, focusing on section markers and parser resilience. Use this when you're architecting a whole pipeline or making project-level decisions about single versus multi-agent systems. Route individual tool schemas to tool-design and per-trajectory optimization to context-optimization.

Files

Select a file.

Details

Repository
github.com/muratcankoylan/agent-skills-for-context-engineering
Category
AI & Agent Building
License
MIT
First seen
Jun 11, 2026

More from muratcankoylan/agent-skills-for-context-engineering

All 17
  • Advanced Evaluation161
  • Harness Engineering157
  • Hosted Agents142
  • Bdi Mental States139
  • Context Engineering Collection
  • Context Engineering Collection4.2K
  • Context Compression443
  • Context Optimization333
  • Filesystem Context325
  • Multi Agent Patterns289
  • Memory Systems281
  • Tool Design250
  • Context Degradation241
  • Evaluation226
  • Context Fundamentals214
  • Latent Briefing172

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