
Agentic Workflow
- 19 installs
- 40 repo stars
- Updated August 4, 2026
- akillness/skills-template
agentic-workflow is a skill that provides AI agent workflow patterns and productivity techniques for daily development tasks.
About
This skill collects practical AI agent workflow patterns and productivity techniques for daily development. A developer uses it for agent commands, keyboard shortcuts, Git integration, MCP server usage, and session management. It also describes multi-agent orchestration and TDD workflow patterns across Claude Code, Gemini CLI, and Codex.
- Lists key commands and keyboard shortcuts for Claude Code, Gemini CLI, and Codex CLI
- Covers Git worktrees, session recovery, and MCP server optimization
- Describes multi-agent orchestration and TDD workflow patterns
Agentic Workflow by the numbers
- 19 all-time installs (skills.sh)
- Ranked #1,308 of 2,715 Automation & Workflows skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
agentic-workflow capabilities & compatibility
- Capabilities
- agent workflow · git worktrees · mcp usage · multi agent orchestration
- Works with
- github · docker · supabase · playwright
- Use cases
- orchestration · ci cd
- Pricing
- Free
What agentic-workflow says it does
Practical AI agent workflows and productivity techniques.
# - MCP servers: fewer than 10
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| Installs | 19 |
|---|---|
| repo stars | ★ 40 |
| Last updated | August 4, 2026 |
| Repository | akillness/skills-template ↗ |
What it does
Apply AI agent workflow patterns, commands, Git integration, MCP usage, and session management for daily development.
Who is it for?
Optimizing everyday coding-agent work with commands, shortcuts, Git, and MCP patterns
Skip if: Deep single-framework implementation guidance
When should I use this skill?
You want to speed up daily agent work or set up multi-agent and worktree workflows
What you get
A faster daily agent workflow using commands, shortcuts, Git worktrees, and MCP orchestration.
- command reference
- keyboard shortcut reference
- worktree and session recipes
By the numbers
- based on 70 tips
- recommends fewer than 10 MCP servers
- recommends fewer than 80 active tools
Files
AI Agent Workflow (Workflow & Productivity)
When to use this skill
- Optimize everyday AI agent work
- Integrate Git/GitHub workflows
- Use MCP servers
- Manage and recover sessions
- Apply productivity techniques
---
1. Key commands by agent
Claude Code commands
| Command | Function | When to use |
|---|---|---|
/init | Auto-generate a CLAUDE.md draft | Start a new project |
/usage | Show token usage/reset time | Start of every session |
/clear | Clear conversation history | When context is polluted; start a new task |
/context | Context window X-Ray | When performance degrades |
/clone | Clone the entire conversation | A/B experiments; backups |
/mcp | Manage MCP servers | Enable/disable MCP |
!cmd | Run immediately without Claude processing | Quick status checks |
Gemini CLI commands
| Command | Function |
|---|---|
gemini | Start a conversation |
@file | Add file context |
-m model | Select model |
Codex CLI commands
| Command | Function |
|---|---|
codex | Start a conversation |
codex run | Run a command |
---
2. Keyboard shortcuts (Claude Code)
Essential shortcuts
| Shortcut | Function | Importance |
|---|---|---|
Esc Esc | Cancel the last task immediately | Highest |
Ctrl+R | Search prompt history | High |
Shift+Tab x2 | Toggle plan mode | High |
Tab / Enter | Accept prompt suggestion | Medium |
Ctrl+B | Send to background | Medium |
Ctrl+G | Edit in external editor | Low |
Editor editing shortcuts
| Shortcut | Function |
|---|---|
Ctrl+A | Move to start of line |
Ctrl+E | Move to end of line |
Ctrl+W | Delete previous word |
Ctrl+U | Delete to start of line |
Ctrl+K | Delete to end of line |
---
3. Session management
Claude Code sessions
# Continue the last conversation
claude --continue
# Resume a specific session
claude --resume <session-name>
# Name the session during the conversation
/rename stripe-integrationRecommended aliases
# ~/.zshrc or ~/.bashrc
alias c='claude'
alias cc='claude --continue'
alias cr='claude --resume'
alias g='gemini'
alias cx='codex'---
4. Git workflow
Auto-generate commit messages
"Analyze the changes, write an appropriate commit message, then commit"Auto-generate draft PR
"Create a draft PR from the current branch's changes.
Make the title summarize the changes, and list the key changes in the body."Use Git worktrees
# Work on multiple branches simultaneously
git worktree add ../myapp-feature-auth feature/auth
git worktree add ../myapp-hotfix hotfix/critical-bug
# Independent AI sessions per worktree
Tab 1: ~/myapp-feature-auth → new feature development
Tab 2: ~/myapp-hotfix → urgent bug fix
Tab 3: ~/myapp (main) → keep main branchPR review workflow
1. "Run gh pr checkout 123 and summarize this PR's changes"
2. "Analyze changes in src/auth/middleware.ts. Check for security issues or performance problems"
3. "Is there a way to make this logic more efficient?"
4. "Apply the improvements you suggested and run tests"---
5. Using MCP servers (Multi-Agent)
Key MCP servers
| MCP server | Function | Use case |
|---|---|---|
| Playwright | Control web browser | E2E tests |
| Supabase | Database queries | Direct DB access |
| Firecrawl | Web crawling | Data collection |
| Gemini-CLI | Large-scale analysis | 1M+ token analysis |
| Codex-CLI | Run commands | Build, deploy |
MCP usage examples
# Gemini: large-scale analysis
> ask-gemini "@src/ Analyze the structure of the entire codebase"
# Codex: run commands
> shell "docker-compose up -d"
> shell "npm test && npm run build"MCP optimization
# Disable unused MCP servers
/mcp
# Recommended numbers
# - MCP servers: fewer than 10
# - Active tools: fewer than 80---
6. Multi-Agent workflow patterns
Orchestration pattern
[Claude] Plan → [Gemini] Analysis/research → [Claude] Write code → [Codex] Run/test → [Claude] Synthesize resultsPractical example: API design + implementation + testing
1. [Claude] Design API spec using the skill
2. [Gemini] ask-gemini "@src/ Analyze existing API patterns" - large-scale codebase analysis
3. [Claude] Implement code based on the analysis
4. [Codex] shell "npm test && npm run build" - test and build
5. [Claude] Create final reportTDD workflow
"Work using TDD. First write a failing test,
then write code that makes the test pass."
# The AI:
# 1. Write a failing test
# 2. git commit -m "Add failing test for user auth"
# 3. Write minimal code to pass the test
# 4. Run tests → confirm they pass
# 5. git commit -m "Implement user auth to pass test"---
7. Container workflow
Docker container setup
FROM ubuntu:22.04
RUN apt-get update && apt-get install -y \
curl git tmux vim nodejs npm python3 python3-pip
RUN curl -fsSL https://claude.ai/install.sh | sh
WORKDIR /workspace
CMD ["/bin/bash"]Safe experimentation environment
# Build and run the container
docker build -t ai-sandbox .
docker run -it --rm \
-v $(pwd):/workspace \
-e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \
ai-sandbox
# Do experimental work inside the container---
8. Troubleshooting
When context is overloaded
/context # Check usage
/clear # Reset context
# Or create HANDOFF.md and start a new sessionCancel a task
Esc Esc # Cancel the last task immediatelyWhen performance degrades
# Check MCP/tool counts
/mcp
# Disable unnecessary MCP servers
# Reset context---
Quick Reference Card
=== Essential commands ===
/clear reset context
/context check usage
/usage check tokens
/init generate project description file
!command run immediately
=== Shortcuts ===
Esc Esc cancel task
Ctrl+R search history
Shift+Tab×2 plan mode
Ctrl+B background
=== CLI flags ===
--continue continue conversation
--resume resume session
-p "prompt" headless mode
=== Multi-Agent ===
Claude plan/code generation
Gemini large-scale analysis
Codex run commands
=== Troubleshooting ===
Context overloaded → /clear
Cancel task → Esc Esc
Performance degradation → check /contextN:agentic-workflow
D:Practical AI agent workflows and productivity techniques. Provides optimization patterns for daily development tasks including commands, shortcuts, Git integration, MCP utilization, and session management.
G:agentic-workflow productivity git mcp commands
U[6]:
Optimize routine AI agent tasks
Integrate Git/GitHub workflows
Utilize MCP servers
Manage and restore sessions
Apply productivity enhancement techniquesRelated skills
FAQ
Which agents does it cover?
Claude Code, Gemini CLI, and Codex CLI, with commands and shortcuts for each.
What MCP guidance does it give?
It recommends fewer than 10 MCP servers and fewer than 80 active tools, and disabling unused servers.