a5c-ai/context-engineering
library/methodologies/everything-claude-code/skills/context-engineering/SKILL.md
Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter context-engineeringInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 1, 2026, 11:38 AM55.9s2 files scanned
SKILL.md
- name:
- context-engineering
- description:
- Dynamic context injection, mode switching (dev/review/research), selective loading, and strategic compaction for token optimization.
- allowed-tools:
- Read, Write, Edit, Bash, Grep, Glob
Context Engineering
Overview
Context management methodology adapted from the Everything Claude Code project. Optimizes context window usage through dynamic injection, mode switching, selective loading, and strategic compaction.
Context Modes
Dev Mode
- 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-engineeringagent for explicit compaction analysis
Related Skills
a5c-ai/model-card-generator
development
VerifiedTrustedCommunity
Model documentation skill for generating model cards following Google's model card framework.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/mlflow-experiment-tracker
development
VerifiedTrustedCommunity
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/lime-explainer
data-ai
VerifiedTrustedCommunity
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/kubeflow-pipeline-executor
devops
VerifiedTrustedCommunity
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
680SKILL.mdUpdated Apr 28, 2026