Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add matteocervelli/llms --skill design-synthesizergit clone --depth 1 https://github.com/matteocervelli/llmsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/matteocervelli/llms/design-synthesizer)<a href="https://agentmods.dev/skills/matteocervelli/llms/design-synthesizer"><img src="https://agentmods.dev/badge/skills/matteocervelli/llms/design-synthesizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/matteocervelli/llms/design-synthesizer"><img src="https://agentmods.dev/badge/skills/matteocervelli/llms/design-synthesizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.04399 |
| Opus 5 | $0.00016 | $0.02200 |
| Sonnet 5 | $0.00007 | $0.00880 |
| Haiku 4.5 | $0.00003 | $0.00440 |
Grade A, and why
design-synthesizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 591 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
The design-synthesizer skill provides structured methods for integrating outputs from multiple parallel sub-agents into a cohesive design. It ensures consistency across architecture, library documentation, and dependencies while identifying and resolving conflicts or gaps.
When to Use
This skill auto-activates when you:
- Integrate outputs from multiple parallel sub-agents
- Synthesize architecture design with library documentation
- Align dependencies with architectural requirements
- Check consistency across design documents
- Resolve conflicts between sub-agent outputs
- Identify gaps or missing information in design
- Prepare integrated design for PRP generation
Provided Capabilities
1. Output Integration
- Load Multiple Documents: Read and parse outputs from all sub-agents
- Extract Key Information: Identify critical design elements from each output
- Cross-Reference: Link related elements across different outputs
- Merge Content: Combine information into unified design
2. Consistency Checking
- Architecture-Library Alignment: Verify architecture uses documented library features
- Data Model Validation: Ensure data models match library APIs
- API Contract Verification: Check API designs align with library patterns
- Version Compatibility: Validate library versions match dependency analysis
- Naming Consistency: Ensure consistent terminology across outputs
3. Conflict Resolution
- Identify Mismatches: Find inconsistencies between sub-agent outputs
- Version Conflicts: Resolve dependency version incompatibilities
- Architecture Adjustments: Modify architecture to meet library constraints
- Trade-off Analysis: Document compromises and decisions
- Priority Resolution: Apply priority rules for conflicting requirements
4. Gap Identification
- Missing Documentation: Flag undocumented library features
- Incomplete Dependencies: Identify missing or unresolved dependencies
- Architecture Gaps: Find components without implementation paths
- Unresolved Issues: List conflicts or ambiguities requiring attention
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 591 lines · 33 tokens per session scan A 094f6f4a846e
design-synthesizer is a skill published in the GitHub repository matteocervelli/llms (25 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 4,399 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…