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Agent skill

Agentic Workflow

by parcadei in parcadei/Continuous-Claude-v3

“Agentic Workflow Pattern”

— description from SKILL.md by parcadei
MITAuto-check passedAgent Workflows

Install Agentic Workflow

skills CLI
$ npx skills add parcadei/Continuous-Claude-v3 --skill agentic-workflow -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install parcadei/Continuous-Claude-v3 agentic-workflow --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/agentic-workflow .claude/skills/agentic-workflow && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agentic-workflow
GitHub stars
3.9k
Used in
2 other repos
Token cost
~963 tokens
SKILL.md length
206 words
Files
1
Skills in repo
141
Repo updated
First seen
Licence
MIT

At a glance

  • Works in 5 steps: Research Agent → Planning Agent → Validation Agent → …
  • SKILL.md covers Architecture Principles, Workflow Stages, Agent Progress Monitoring and Directory Structure, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

About this skill

Agentic Workflow is a skill in parcadei/Continuous-Claude-v3 (3.9k stars). Its SKILL.md is about 963 tokens, and copies of it appear in 2 other owners' repositories. Licence: MIT.

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Research Agent
  2. Planning Agent
  3. Validation Agent
  4. Implementation Agent
  5. Review Agent

What it can do on your machine

Read from SKILL.md and the folder at commit d07ff4b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agentic Workflow loads about 963 tokens when it runs. Until then it costs about 10 tokens; SKILL.md has 206 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~10
When it runs · the whole SKILL.md, loaded when a task matches
~963

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 206 words, ~963 tokens.

Download SKILL.mdSave it as .claude/skills/agentic-workflow/SKILL.md (or your agent's skills folder).
name
agentic-workflow
description
Agentic Workflow Pattern
user-invocable
false

Agentic Workflow Pattern

Standard multi-agent pipeline for implementation tasks.

Architecture Principles

  • Use run_in_background: true for all agents to keep main context minimal
  • Use Task tool (never TaskOutput) to avoid receiving full agent transcripts
  • Agents write outputs to .claude/cache/agents/<stage>/ for injection into subsequent agents
  • Main conversation is pure orchestration — no heavy lifting, only coordination

Workflow Stages

1. Research Agent
Task(subagent_type="oracle", run_in_background=true, prompt="""
Query NIA Oracle (via /nia-docs skill) to verify approach and gather best practices.

Output to: .claude/cache/agents/oracle/<task>-research.md
""")
  • Enforce NIA as the research layer
  • Output: Research findings
2. Planning Agent
Task(subagent_type="plan-agent", run_in_background=true, prompt="""
Read: .claude/cache/agents/oracle/<task>-research.md
Use RP-CLI to analyze the target codebase section.
Generate implementation plan informed by research.

Output to: .claude/cache/agents/plan-agent/<task>-plan.md
""")
  • Receives: Research agent output as context
  • Output: Implementation plan
3. Validation Agent
Task(subagent_type="validate-agent", run_in_background=true, prompt="""
Read: .claude/cache/agents/plan-agent/<task>-plan.md
Read: .claude/cache/agents/oracle/<task>-research.md
Review plan against research findings and best practices.

Output to: .claude/cache/agents/validate-agent/<task>-validated.md
""")
  • Reviews plan against research
  • Output: Validated plan with amendments
4. Implementation Agent
Task(subagent_type="agentica-agent", run_in_background=true, prompt="""
Read: .claude/cache/agents/validate-agent/<task>-validated.md
Read: .claude/cache/agents/oracle/<task>-research.md

TDD approach: Write failing tests FIRST, then implement.
Run tests to verify.

Output summary to: .claude/cache/agents/implement-agent/<task>-implementation.md
""")
  • Receives: Validated plan + research context
  • TDD: Failing tests first
  • Output: Implementation + tests
5. Review Agent
Task(subagent_type="review-agent", run_in_background=true, prompt="""
Read: .claude/cache/agents/implement-agent/<task>-implementation.md
Read: .claude/cache/agents/validate-agent/<task>-validated.md
Read: .claude/cache/agents/oracle/<task>-research.md

Cross-reference implementation against plan and research.
Run tests to confirm passing.

Output to: .claude/cache/agents/review-agent/<task>-review.md
""")
  • Cross-references all artifacts
  • Confirms tests pass
  • Output: Review summary

Agent Progress Monitoring

bash
# Watch for system reminders:
# "Agent a42a16e progress: 6 new tools used, 88914 new tokens"

# Poll for output files:
find .claude/cache/agents -name "*.md" -mmin -5

# Check task file size growth:
wc -c /tmp/claude/.../tasks/<id>.output

Stuck detection:

  1. Progress reminders stop arriving
  2. Task output file size stops growing
  3. Expected output file not created after reasonable time

Directory Structure

.claude/cache/agents/
├── oracle/
│   └── <task>-research.md
├── plan-agent/
│   └── <task>-plan.md
├── validate-agent/
│   └── <task>-validated.md
├── implement-agent/
│   └── <task>-implementation.md
└── review-agent/
    └── <task>-review.md

Key Rules

  1. Never use TaskOutput - floods context with 70k+ token transcripts
  2. Always run_in_background=true - isolates agent context
  3. File-based handoff - each agent reads previous agent's output file
  4. Poll, don't block - check file system for outputs, don't wait
  5. TDD in implementation - failing tests first, then make them pass

Source

  • Session 2026-01-01: SDK Phase 3 implementation using this pattern

© parcadei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/agentic-workflow of parcadei/Continuous-Claude-v3.

Open the folder on GitHubat commit d07ff4b

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agentic Workflow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agentic Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agentic Workflow this skillparcadei/Continuous-Claude-v33.9k2 repos~963Automated safety check: PassMIT
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
Hook Development for Claude Code Pluginsanthropics/claude-plugins-official38k11 repos~4.1kAutomated safety check: NotesApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Executing Plans Inlineobra/superpowers296k2 repos~5.1kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0

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    Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.

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Categories

Questions about Agentic Workflow

How do I install Agentic Workflow in Claude Code?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill agentic-workflow -a claude-code`. Or copy the skill folder (.claude/skills/agentic-workflow in parcadei/Continuous-Claude-v3) into .claude/skills/agentic-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Agentic Workflow in Codex?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill agentic-workflow -a codex`. Or copy the skill folder (.claude/skills/agentic-workflow in parcadei/Continuous-Claude-v3) into .agents/skills/agentic-workflow in your project. Codex loads it when a task matches its description.

Can I use Agentic Workflow in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add parcadei/Continuous-Claude-v3 --skill agentic-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentic-workflow, .gemini/skills/agentic-workflow, .github/skills/agentic-workflow and .opencode/skills/agentic-workflow in your project.

What does Agentic Workflow need to run?

SKILL.md names no scripts, command-line tools or credentials: Agentic Workflow is instructions for the agent only.

Does Agentic Workflow access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agentic Workflow safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agentic Workflow use?

Agentic Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agentic Workflow use?

About 963 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agentic Workflow?

Skills that share tags, products or a category with Agentic Workflow: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentic Workflow?

parcadei (a GitHub user) maintains it in parcadei/Continuous-Claude-v3, which has 3,940 GitHub stars. The repository holds 141 skills in this directory. The repository was last updated on January 26, 2026.

Source: parcadei/Continuous-Claude-v3 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.