name: agent-harness description: | Agent Work Framework. Unified entry thinking framework + workflow Skill.
Trigger Words (Thinking Modes): research, plan, design, think, pattern, process, step, review, score, analyze, evaluate, compare, survey, solution, feasibility, summary, deep research, research report, task decomposition, multi-agent, parallel execution, context compression, long-task planning
One-line summary: First decide "what combination to use", then execute layer by layer.
Core Relationship:
Decision Tree → Choose "Pipeline + which WORKFLOWS" Pipeline = Execution Framework (universal) WORKFLOWS = Work Content (specific)
When receiving a task, first answer these questions:
1. [ ] What is the core task? (multi-step / single-step)
2. [ ] Is the requirement clear? (clear → next / unclear → load 06-INVERSION.md)
3. [ ] Does it need multi-step execution? (yes → Pipeline + other)
4. [ ] What is the specific content? (corresponds to which WORKFLOWS)
Response Format:
[Pre-Execution Check]
Q1: xxx → Conclusion
Q2: xxx → Conclusion
...
Final Decision: Pipeline + WORKFLOWS/{name}
Or: Final Decision: Inversion (standalone mode)
┌─────────────────────────────────────────────────────────────┐ │ Layer Execution Order │ │ │ │ Step 1 ──→ Step 2 ──→ Step 3 ──→ Step 4 ──→ Step 5 │ │ │ │ │ │ │ │ │ ▼ ▼ ▼ ▼ ▼ │ │ ┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐ ┌────────┐ │ │ │Decision│→│Pipeline │→│WORKFLOW│→│Template│→│Quality │ │ │ │01- │ │02- │ │03- │ │04- │ │05- │ │ │ │DECISION│ │PIPELINE │ │WORKFLOWS│ │TEMPLATE│ │QUALITY │ │ │ └────────┘ └────────┘ └────────┘ └────────┘ └────────┘ │ │ │ │ Decision Tree decides "which combination", │ │ Pipeline decides "universal execution flow", │ │ WORKFLOWS decides "specific work content" │ └─────────────────────────────────────────────────────────────┘小葱技能站7w4.net每天更新,海量AI技能等你发现。
🍳 Cooking Scenario:
- Decision Tree = Customer orders ("spicy today")
- Pipeline = Cooking method (heat pan first, no matter what)
- WORKFLOWS = Specific recipe (how to make fish-flavored pork)
- Template = Plating style (how to arrange the plate)
💻 Software Scenario:
- Decision Tree = Task classification ("this is a research task")
- Pipeline = Execution flow (decompose first, no matter the research)
- WORKFLOWS = Research method (4-step method)
- Template = Report format (title-abstract-body-conclusion)
[Step 1] Read references/01-DECISION.md
Decide: Pipeline + which WORKFLOWS
Common Combinations:
- Pipeline + research → Research tasks
- Pipeline + subagent → Coordination tasks
- Pipeline + context → Compression tasks
- Pipeline + analysis → Analysis tasks
[Step 2] Read references/02-PIPELINE.md
Understand: Universal 4-step execution flow
Pipeline Steps:
Step 1: Plan
Step 2: Execute
Step 3: Summarize
Step 4: Check
[Step 3] Read references/03-WORKFLOWS/{corresponding workflow}.md
Execute: Specific work content
research = 4-step research (decompose→research→synthesize→report)
subagent = 4-step coordination (analyze→decompose→parallel→merge)
context = 4-step compression (assess→strategy→execute→verify)
analysis = 4-step analysis (decompose→collect→compare→conclude)
[Step 4] Read references/04-TEMPLATES/{corresponding template}.md
Generate: Structured final output
[Step 5] Read references/05-QUALITY.md
Verify: Output quality meets standards
| Task Type | Combination | Description |
|---|---|---|
| 📝 Deep Research Report | Pipeline + research | Multi-step research flow |
| 🤖 Multi-Agent Coordination | Pipeline + subagent | Decompose+parallel+merge |
| 📦 Long-Task Compression | Pipeline + context | Context management strategy |
| ⚖️ Competitive Analysis | Pipeline + analysis | Multi-dimensional comparison |
| ❓ Unclear Requirements | Inversion (standalone) | Gather requirements first |
[agent-harness execution complete]
✓ Steps 1-5 completed
✓ Combination: Pipeline + WORKFLOWS/{name}
✓ Forbidden behaviors check: Passed
| File | Role | Load Time |
|---|---|---|
SKILL.md |
Entry + Layer Description | On trigger |
references/01-DECISION.md |
Decision Tree | Step 1 |
references/02-PIPELINE.md |
Execution Framework | Step 2 |
references/03-WORKFLOWS/research.md |
Research Content | Step 3 |
references/03-WORKFLOWS/subagent.md |
Coordination Content | Step 3 |
references/03-WORKFLOWS/context.md |
Compression Content | Step 3 |
references/03-WORKFLOWS/analysis.md |
Analysis Content | Step 3 |
references/04-TEMPLATES/research-report.md |
Research Template | Step 4 |
references/04-TEMPLATES/analysis-report.md |
Analysis Template | Step 4 |
references/06-INVERSION.md |
Requirements Clarification | When unclear |
references/05-QUALITY.md |
Quality Check | Pipeline Step 4 |
Last updated: 2026-04-07 by neltharion11 | https://github.com/neltharion11/skill-agent-harness
这个 Skill 质量中上,架构设计清晰,学习成本低,能有效规范 Agent 的思考和执行流程,质量检查机制也较为完善。但文档存在重复内容,英文夹杂使用影响阅读体验,且支持的任务类型偏少,适用范围有限。如果能解决这些问题会更实用。