agentic-workflow
- Repo stars 3,783
- Author updated Live
- Author repo Continuous-Claude-v3
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 88 / 100 · community maintained
- Author / version / license
- @parcadei · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: agentic-workflow
description: Agentic Workflow Pattern Standard multi-agent pipeline for implementation tasks. Task(subagentty…
category: ai
runtime: no special runtime
---
# agentic-workflow output preview
## PART A: Task fit
- Use case: Agentic Workflow Pattern Standard multi-agent pipeline for implementation tasks. Task(subagenttype="oracle", runin_background=true, prompt=""" Query NIA Oracle (via /nia-docs skill) to verify approach and gather best practices. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Architecture Principles / Workflow Stages / 1. Research Agent” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Agentic Workflow Pattern Standard multi-agent pipeline for implementation tasks. Task(subagenttype="oracle", runin_background=true, prompt=""" Query NIA Oracle (via /nia-docs skill) to verify approach and gather best practices. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Architecture Principles / Workflow Stages / 1. Research Agent” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source mentions slash commands such as `/nia-docs`, `/tmp`; use them first when your agent supports command triggers.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Start with a small task and check whether the result follows “Architecture Principles / Workflow Stages / 1. Research Agent”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: agentic-workflow
description: Agentic Workflow Pattern Standard multi-agent pipeline for implementation tasks. Task(subagentty…
category: ai
source: parcadei/Continuous-Claude-v3
---
# agentic-workflow
## When to use
- Agentic Workflow Pattern Standard multi-agent pipeline for implementation tasks. Task(subagenttype="oracle", runin_bac…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Architecture Principles / Workflow Stages / 1. Research Agent” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "agentic-workflow" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Architecture Principles / Workflow Stages / 1. Research Agent
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} Agentic Workflow Pattern
Standard multi-agent pipeline for implementation tasks.
Architecture Principles
- Use
run_in_background: truefor all agents to keep main context minimal - Use
Tasktool (neverTaskOutput) 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
# 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:
- Progress reminders stop arriving
- Task output file size stops growing
- 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
- Never use TaskOutput - floods context with 70k+ token transcripts
- Always run_in_background=true - isolates agent context
- File-based handoff - each agent reads previous agent's output file
- Poll, don't block - check file system for outputs, don't wait
- TDD in implementation - failing tests first, then make them pass
Source
- Session 2026-01-01: SDK Phase 3 implementation using this pattern
Decide Fit First
Design Intent
How To Use It
Boundaries And Review