subsystem-orientation

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Create a subsystem orientation skill after deep research on a stable, non-churning part of the codebase when no skill exists for it. Use when you have just read many files, traced call chains, or explored architecture to understand how a subsystem works — and that knowledge should be captured to prevent the same context burn on every future session touching that area. Triggers include: had to explore 5+ files to understand one concept, traced IPC/process/worker/pipeline topology manually, or answered "how does X actually work" from scratch.

xiaden By xiaden schedule Updated 6/4/2026

name: subsystem-orientation description: Create a subsystem orientation skill after deep research on a stable, non-churning part of the codebase when no skill exists for it. Use when you have just read many files, traced call chains, or explored architecture to understand how a subsystem works — and that knowledge should be captured to prevent the same context burn on every future session touching that area. Triggers include: had to explore 5+ files to understand one concept, traced IPC/process/worker/pipeline topology manually, or answered "how does X actually work" from scratch.

Subsystem Orientation Skill Creator

You have just done expensive research on a stable subsystem. Capture the mental model now — once — rather than rediscovering it every session.

Check Before Creating

Before creating a new skill, check if one already exists for this subsystem. Skills live in .github/skills/ and code-intel/skills/. If a skill exists:

  • Extend it with what you just learned — do not create a duplicate
  • Update the ## Coverage section (see below)
  • If you learned something that contradicts the skill, fix the skill and note the change

A partial skill that labels its gaps is always preferable to no skill. A partial skill with unlabeled gaps causes confident wrong reasoning — worse than no skill.

What Belongs in a Subsystem Orientation Skill

A subsystem skill answers: "What does a competent engineer need to know before touching this area?"

Include:

  • The intended mental model — why this architecture, not just what it does
  • Process/thread/IPC topology (who owns what, how parts communicate)
  • Key invariants an agent must not violate
  • Which files are canonical owners of each concern
  • How the subsystem connects to the rest of the system (entry/exit points)
  • Citations to the ADRs/DDs that motivated the design

Do not include:

  • Implementation details that change with normal refactors (method signatures, variable names)
  • Information already obvious from reading one file
  • Anything the model already knows (Python stdlib, FastAPI patterns, etc.)
  • Episodic history ("we tried X and it failed") — that belongs in logs/ADRs

The Test

If an agent reads all the files in the subsystem but still doesn't know why it's structured this way or what would break if they changed it naively — the gap belongs in a skill.

Structure

Place Nomarr subsystem skills in .github/skills/{subsystem-name}/SKILL.md. Place generic/tooling skills in code-intel/skills/{skill-name}/SKILL.md.

.github/skills/my-subsystem/
├── SKILL.md                  ← required: frontmatter + summary + key files table
└── references/
    └── architecture.md       ← optional: full topology, schema, invariants if large

Keep SKILL.md scannable — if the mental model needs more than ~60 lines, move the detail to references/architecture.md and link it (see nomarr-tags skill as reference implementation).

Frontmatter Discipline

The description field is the trigger selector. It must:

  • Name the subsystem explicitly (agents match on nouns)
  • List the tasks that should load it, not just the domain
  • Be specific enough that it doesn't load for every session

Good:

description: Use when working with the discovery worker system — process isolation,
  ML job dispatch, IPC pipe protocol, worker lifecycle, or BaseWorker subclassing.
  Also covers how the service connects to workers and handles worker crashes.

Bad:

description: Use when working with workers or ML.

Required Sections in the Skill Body

  1. One-paragraph mental model — the "explain it to a new hire in 60 seconds" summary
  2. Coverage — formal declaration of what this skill documents and what it does not (see format below)
  3. Key Files table — area → canonical file, no descriptions, just the map
  4. Critical Invariants — the things an agent must never break, stated as constraints
  5. Common Task Patterns (optional) — if there are 2-3 stereotyped tasks that are easy to get wrong

Coverage Section Format

Every subsystem skill must include a ## Coverage section immediately after the mental model. This is the staleness and incompleteness signal for future agents.

## Coverage

**Documented:** worker IPC protocol, pipe lifecycle, BaseWorker subclassing, service ↔ worker connection setup

**Not yet documented:** worker crash recovery, GPU memory limits, multi-worker scheduling policy

**Last extended:** 2026-06-03

Rules:

  • Documented lists the specific concerns this skill covers — not the subsystem name, the concerns
  • Not yet documented lists known gaps — areas that exist in the subsystem but weren't researched yet
  • Last extended is the ISO date the skill was last written or extended
  • When extending a skill, move items from Not yet documented to Documented as appropriate, and add new gaps discovered
  • If Not yet documented is empty, write none known — do not omit the field

Source Citations

Every skill must cite its authoritative sources. Include at the bottom:

## Sources
- ADR-NNN: Title
- DD: slug (artifacts/designs/...)

If no ADR/DD exists for the design decision, that's a gap worth noting — the skill can serve as informal documentation until a proper ADR is written.

Staleness Contract

A skill is a view over ADRs/DDs. When the underlying design changes:

  • The ADR supersession and the skill update must be in the same commit
  • If the skill becomes stale, it causes confident wrong reasoning — worse than no skill
  • Add a ## Sources section so future maintainers know which ADRs to check

Reference Implementation

nomarr-tags (d:\Github\nomarr\.github\skills\nomarr-tags\SKILL.md) is the canonical example. Note: concise SKILL.md body, detailed content in references/, explicit key files table, invariants called out.

Install via CLI
npx skills add https://github.com/xiaden/code-intel --skill subsystem-orientation
Repository Details
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