How do I install the Context Engineering skill?

Run npx skillmds@latest add gabrielmoreira/context-engineering-3 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Context Engineering safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Context Engineering?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Context Engineering free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Context Engineering?

gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Context Engineering by gabrielmoreira

Name: Context Engineering
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

File contents

Load: architecture docs, active code files, test files, recent changes
Skip: historical discussions, completed milestones, research notes
Priority: implementation speed

Review Mode

Load: code diff, coding standards, security rules, test coverage
Skip: architecture docs, planning notes, research
Priority: thoroughness and accuracy

Research Mode

Load: requirements, existing patterns, external research, alternatives
Skip: implementation details, test files, CI configs
Priority: breadth of information

Dynamic Injection

Detect project context automatically (language, framework, tools)
Load relevant skills based on detected context
Inject domain-specific patterns and conventions
Adjust tool allowlists per context mode

Selective Loading

Load only files relevant to the current task
Use glob patterns to scope file reading
Prioritize recently modified files
Skip binary files and generated code

Strategic Compaction

Monitor context token usage
Suggest compression for resolved/completed items
Archive to memory files (activeContext, patterns, progress)
Pre-compaction state preservation
Automated compaction triggers at token thresholds

Cross-Platform Detection

Package manager: npm (package-lock.json), pnpm (pnpm-lock.yaml), yarn (yarn.lock), bun (bun.lockb)
Language: TypeScript (tsconfig.json), Go (go.mod), Python (pyproject.toml), Java (pom.xml)
Test runner: vitest, jest, pytest, go test
CI/CD: GitHub Actions, Dockerfile, docker-compose

When to Use

Session initialization (detect context)
Before each phase (inject relevant context)
Token budget warnings (strategic compaction)
Mode transitions (dev to review to research)

Agents Used

Used by all agents indirectly through context detection
context-engineering agent for explicit compaction analysis

---name: context-engineering-3description: Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.---- Load: architecture docs, active code files, test files, recent changes- Skip: historical discussions, completed milestones, research notes- Priority: implementation speed### Review Mode- Load: code diff, coding standards, security rules, test coverage- Skip: architecture docs, planning notes, research- Priority: thoroughness and accuracy### Research Mode- Load: requirements, existing patterns, external research, alternatives- Skip: implementation details, test files, CI configs- Priority: breadth of information## Dynamic Injection- Detect project context automatically (language, framework, tools)- Load relevant skills based on detected context- Inject domain-specific patterns and conventions- Adjust tool allowlists per context mode## Selective Loading- Load only files relevant to the current task- Use glob patterns to scope file reading- Prioritize recently modified files- Skip binary files and generated code## Strategic Compaction- Monitor context token usage- Suggest compression for resolved/completed items- Archive to memory files (activeContext, patterns, progress)- Pre-compaction state preservation- Automated compaction triggers at token thresholds## Cross-Platform Detection- Package manager: npm (package-lock.json), pnpm (pnpm-lock.yaml), yarn (yarn.lock), bun (bun.lockb)- Language: TypeScript (tsconfig.json), Go (go.mod), Python (pyproject.toml), Java (pom.xml)- Test runner: vitest, jest, pytest, go test- CI/CD: GitHub Actions, Dockerfile, docker-compose## When to Use- Session initialization (detect context)- Before each phase (inject relevant context)- Token budget warnings (strategic compaction)- Mode transitions (dev to review to research)## Agents Used- Used by all agents indirectly through context detection- `context-engineering` agent for explicit compaction analysis

Frequently asked questions

Context Engineering