ai-context-engineering
Skill1 starsChanged 6 months agoMITView on GitHub
Foundational context engineering theory and practice for LLM applications. Covers the 5 levels of context (zero/linear/goal-oriented/role-based/semantic blueprint), semantic role labeling (SRL) for visualizing structured prompts, and the layered (scope → investigation → action) analysis pattern.
In this repository21 other files it gives its agents.
- ai-context-engine-productionSkill
- ai-context-engineSkill
- ai-dataset-engineeringSkill
- ai-evaluationSkill
- ai-finetuningSkill
- ai-foundation-modelsSkill
- ai-inference-optimizationSkill
- ai-multi-agent-mcpSkill
- ai-production-architectureSkill
- ai-prompt-engineeringSkill
- ai-rag-and-agentsSkill
- ai-rag-defenseSkill
- ddia-architectureSkill
- ddia-batch-stream-processingSkill
- ddia-data-ethicsSkill
- ddia-data-modelingSkill
- ddia-replication-shardingSkill
- ddia-transactions-consistencySkill
- job-description-analyzerSkill
- resume-content-writerSkill
- resume-fit-scorerSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 20
Check guidelines.md to find which files to load
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI Context Engineering
Knowledge from "Context Engineering for Multi-Agent Systems" (Chapter 1). Foundational theory for moving from prompts to engineered context.
Quick Start
- Check
guidelines.mdto find which files to load - Load only relevant files (each topic has knowledge.md, rules.md, examples.md)
- Apply guidance to your work
Contents
References
| Category | Purpose |
semantic-blueprint | The 5 levels of context, semantic blueprint definition, SRL theory |
srl-implementation | Python implementation of SRL with matplotlib visualization |
meeting-analysis | The 3-layer (scope/investigation/action) analysis pattern with worked example |
Workflows
| Workflow | Purpose |
workflows/build-3-layer-pipeline.md | End-to-end build of a scope→investigation→action analysis pipeline |
Guidelines
See guidelines.md for task-based file selection.
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