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 ddddjaak/se-skills --skill using-se-skillsgit clone --depth 1 https://github.com/ddddjaak/se-skillsWrote 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/ddddjaak/se-skills/using-se-skills)<a href="https://agentmods.dev/skills/ddddjaak/se-skills/using-se-skills"><img src="https://agentmods.dev/badge/skills/ddddjaak/se-skills/using-se-skills/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/ddddjaak/se-skills/using-se-skills"><img src="https://agentmods.dev/badge/skills/ddddjaak/se-skills/using-se-skills.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 | $0.00126 | $0.04899 |
| Opus 5 | $0.00063 | $0.02449 |
| Sonnet 5 | $0.00025 | $0.00980 |
| Haiku 4.5 | $0.00013 | $0.00490 |
Grade A, and why
using-se-skills 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 10d 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 — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using SE Skills
Overview
SE Skills is a collection of workflow skills for chip vendor System Engineers (Application Architects), organized by the SE workflow phase. Each skill encodes a specific process that senior SEs follow — from raw requirements decomposition through architecture design, formal specification authoring, cross-department review, and traceability validation.
This meta-skill helps you discover and apply the right skill for your current SE task.
When to Use
- Starting a new chip application project and unsure which skill to apply first
- You know the SE workflow exists but don't know which phase you're in
- A task spans multiple SE phases and you need to know the correct sequence
- A colleague asks "which SE skill should I use for this?"
- You want a quick reference for the full SE skill lifecycle
When NOT to use:
- You already know exactly which skill to invoke (just invoke it directly)
- The task is not SE-related (e.g., pure software implementation, hardware design, mechanical engineering)
Pipeline Conduction (Automatic Phase Detection)
This is the conductor. When invoked (either explicitly or via CLAUDE.md Pipeline Mode), you do not just discover one skill — you guide the user through the entire SE workflow, one phase at a time. After each skill completes, you return here to present the next logical step.
Phase Detection Protocol
Before responding, scan docs/ with Glob (docs/*/). The presence of artifact directories determines the current phase:
| Artifacts Present | Phase | Status |
|---|---|---|
| (none) | Define | Start here |
docs/requirements/ |
Design | Requirements ready, need architecture |
docs/architecture/ |
Document | Architecture ready, need specs |
docs/spec/ |
Verify | Specs ready, need review |
docs/reviews/ |
Validate | Reviews done, need cross-check |
Option Generation by Phase
Define Phase (no docs/requirements/):
Your project is at the starting point. The first step:
1. Requirements decomposition — transform PRD/datasheet/standards into structured, traceable requirements (requirements-decompose)
2. Skip requirements — I already have structured requirements (proceed to Design phase)
3. Something else — tell me what you need
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.
- 10d ago First seen · 376 lines · 126 tokens per session scan A 9697a917d4ae
using-se-skills is a skill published in the GitHub repository ddddjaak/se-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 126 tokens to every session and 4,899 once invoked, about $0.0006 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 2026-08-31.
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…