Practical AI agent workflows and productivity techniques. Provides optimized patterns for daily development tasks such as commands, shortcuts, Git integration, MCP usage, and session management.
67
52%
Does it follow best practices?
Impact
95%
1.33xAverage score across 3 eval scenarios
Critical
Do not install without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./.agent-skills/agentic-workflow/SKILL.mdTDD workflow with AI agent commit discipline
Failing test first
100%
100%
First commit message format
41%
83%
Minimal implementation
87%
100%
Tests pass before second commit
90%
100%
Second commit message format
25%
83%
Separate commits
100%
100%
Test file produced
100%
100%
Implementation file produced
100%
100%
TDD prompt framing
20%
80%
Git workflow documented
100%
100%
Docker AI agent sandbox configuration
Ubuntu 22.04 base image
0%
100%
Required packages installed
33%
33%
Claude install script
0%
100%
WORKDIR set correctly
100%
100%
CMD is bash shell
100%
100%
Workspace volume mount
100%
100%
API key environment variable
100%
90%
Container cleanup flag
100%
100%
Interactive flags
100%
100%
Image name in build
100%
100%
Dockerfile produced
100%
100%
Multi-agent workflow setup and shell configuration
Alias c=claude
0%
100%
Alias cc=claude --continue
0%
100%
Alias cr=claude --resume
0%
100%
Alias g=gemini
0%
100%
Alias cx=codex
0%
100%
Aliases in correct config file
100%
100%
MCP server count limit
66%
100%
Active tools count limit
100%
100%
Claude for planning and code
100%
100%
Gemini for large-scale analysis
100%
100%
Codex for running commands
100%
100%
Orchestration sequence
100%
100%
Final synthesis by Claude
100%
100%
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Table of Contents
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