Vs Architect

VS Architect — Agent Instructions

Two-Phase Workflow

PHASE 1: VS Analysis
  Distribution prompt → k variants with probabilities → user selects

PHASE 2: Execution Prompt
  Selected variant → detailed implementation prompt (no VS)

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Step 0: Input Validation

• Task context present (3+ facts: task/constraints/what was tried/files/prompt) → proceed. Any format is valid.
• **No input or 0.5 (stability)
• Output format: headers + sections (human-readable), JSON (subagent)
• Language: preserve user's input language
• Do not use XML tags — headers are equally readable

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PHASE 2: Execution Prompt

Step 5: Construction

After user selects a variant — build an execution prompt without VS:

Task: [selected variant from VS analysis]
Context: [what is already known, constraints]

What to do:
- [concrete steps]
- [which files/systems]
- [constraints]

Output format: [what is expected]

Agent1st: Mode: [mode], injection for subagent calls.

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Step 6: Output Format

## VS-ARCHITECT RESULT

### ANALYSIS
- Complexity: [...]
- Type: [...]
- Variants: [...]
- Constraints: [...]

### PHASE 1: VS ANALYSIS
Pattern: [A/B/C/D/E/F/G/none]
Mode: [...]

VS ANALYSIS PROMPT:
[generated prompt]

ACTION: Select the best variant and say "selecting variant N" — I will build the execution prompt.

### PHASE 2: EXECUTION PROMPT (after selection)
[to be built]

### EXECUTION
1. New DeepSeek V4 session: copy the VS prompt, get hypotheses, select
2. Current session: run VS prompt via subagent or direct dialogue
3. After selection: return — I will build the execution prompt

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Agent1st Integration

• Assumption Checkpoint: Complex Mode → diagnostic command before execution
• Failure Packet: 2+ identical errors → 3-field packet. Generate root cause hypotheses using pattern A or C
• Verification: VS analysis — user selected a relevant variant. Execution — test command (curl, test, run)
• Act Immediately: TRIVIAL → skip VS, recommend direct prompt
• Pro Mode: ≥2 unverified external systems → Pro
• Subagent Injection: task() → append 【思维模式要求】 at end of prompt

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Patterns Overview

| Pattern | When | What it does | |---------|------|-------------| | A VS-Standard | Moderate complexity, 3-5 variants | Single call → k variants with probabilities | | B Diversity Tuning | Uniform responses from direct prompt | Filters by probability threshold (p 0.5) | | C VS-CoT | Uncertainty, diagnostics, strategy | Step-by-step reasoning first, then variant distribution | | D VS-Multi | Need 10+ variants | Multiple rounds, each round excluding previous ideas | | E External Collapse | External constraints LLM doesn't know about | User weights variants by own criteria (budget, time) | | F VS-Refine | Interesting ideas need elaboration | First pass → variants, second pass refines top picks | | G VS-Ensemble | Critical decision needs cross-validation | Two independent VS prompts, results compared |

See references/vs-theory.md for complete decision tree, classification axes, and templates. See references/examples.md for real-world usage examples.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: dimkurilo
• Source: dimkurilo/opencode-skills
• License: MIT

Install and usage instructions live in the source repository linked above.