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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)
At a glance

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
From the docs

What agentic-workflow says it does

Practical AI agent workflows and productivity techniques.
SKILL.md
# - MCP servers: fewer than 10
SKILL.md
npx skills add https://github.com/akillness/skills-template --skill agentic-workflow

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Listed on Skillselion
Installs19
repo stars40
Last updatedAugust 4, 2026
Repositoryakillness/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

SKILL.mdMarkdownGitHub ↗

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

CommandFunctionWhen to use
/initAuto-generate a CLAUDE.md draftStart a new project
/usageShow token usage/reset timeStart of every session
/clearClear conversation historyWhen context is polluted; start a new task
/contextContext window X-RayWhen performance degrades
/cloneClone the entire conversationA/B experiments; backups
/mcpManage MCP serversEnable/disable MCP
!cmdRun immediately without Claude processingQuick status checks

Gemini CLI commands

CommandFunction
geminiStart a conversation
@fileAdd file context
-m modelSelect model

Codex CLI commands

CommandFunction
codexStart a conversation
codex runRun a command

---

2. Keyboard shortcuts (Claude Code)

Essential shortcuts

ShortcutFunctionImportance
Esc EscCancel the last task immediatelyHighest
Ctrl+RSearch prompt historyHigh
Shift+Tab x2Toggle plan modeHigh
Tab / EnterAccept prompt suggestionMedium
Ctrl+BSend to backgroundMedium
Ctrl+GEdit in external editorLow

Editor editing shortcuts

ShortcutFunction
Ctrl+AMove to start of line
Ctrl+EMove to end of line
Ctrl+WDelete previous word
Ctrl+UDelete to start of line
Ctrl+KDelete 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-integration

Recommended 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 branch

PR 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 serverFunctionUse case
PlaywrightControl web browserE2E tests
SupabaseDatabase queriesDirect DB access
FirecrawlWeb crawlingData collection
Gemini-CLILarge-scale analysis1M+ token analysis
Codex-CLIRun commandsBuild, 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 results

Practical 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 report

TDD 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 session

Cancel a task

Esc Esc  # Cancel the last task immediately

When 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 /context

Related 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.

Automation & Workflowsagentsautomation

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