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SKILL verified Apache-2.0 Self-run

Synthesis Code Planning

skill-synthesisengineering-synthesis-skills-synthesis-code-planning · by synthesisengineering

Structured approach to code generation, implementing features, and writing code. Use when asked to generate code, implement a feature, write code, or tackle a coding task. Analyzes the task, generates multiple approaches with trade-offs, selects the optimal solution, and implements it.

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Install

$ agentstack add skill-synthesisengineering-synthesis-skills-synthesis-code-planning

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Code Planning

A structured methodology for approaching code tasks that produces higher-quality implementations by evaluating multiple approaches before committing to one.

Inputs

Before generating code, gather three inputs:

  1. Task description -- what needs to be built or changed
  2. Existing code -- the current codebase or relevant files (if any)
  3. Contextual documentation -- relevant API docs, framework guides, coding standards, or architectural decisions

Process

Step 1: Analyze

Carefully analyze the task description and existing code. Consider:

  • What is the actual goal (not just the literal request)?
  • What constraints does the existing code impose?
  • What are the performance, maintainability, and correctness requirements?
  • What best practices apply to this language, framework, or domain?

Step 2: Generate approaches

Produce at least two distinct approaches to address the task. For each approach, document:

Approach 1: [Brief description]

  • Pros:
  • [Advantage 1]
  • [Advantage 2]
  • Cons:
  • [Drawback 1]
  • [Drawback 2]

Approach 2: [Brief description]

  • Pros:
  • [Advantage 1]
  • [Advantage 2]
  • Cons:
  • [Drawback 1]
  • [Drawback 2]

Generate more approaches when the problem space is ambiguous or when the first two approaches have significant trade-offs against each other.

Step 3: Evaluate and select

Select the optimal solution and justify the choice with specific reasoning:

  • Reference the pros and cons of each approach
  • Explain why the chosen approach best addresses the task requirements
  • Acknowledge what is sacrificed by not choosing the alternatives
  • If the decision is close, state that explicitly

Step 4: Implement

Implement the chosen solution by modifying or creating code:

  • Mark changes clearly when modifying existing code
  • Follow the conventions and patterns already present in the codebase
  • Optimize for performance, maintainability, and adherence to best practices
  • Include necessary error handling and edge case coverage

When to skip multi-approach evaluation

For trivial changes (typo fixes, single-line config changes, renaming a variable), skip Steps 2-3 and implement directly. The threshold: if the implementation is obvious and unambiguous, proceed without generating alternatives.

Principles

  • Framework-first: prefer built-in features over custom solutions
  • Convention over configuration: follow established patterns in the codebase
  • Root cause over symptom: fix the underlying problem, not its surface manifestation
  • Less code is better: a one-line config change beats 50 lines of custom code

Source & license

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

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

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Versions

  • v0.1.0 Imported from the upstream source.