git:20260828.30e6794 to git:20260830.9f462c6

- Skills and output styles for engineering AI artifacts: prompts, skills, agents, and output styles.

- - **`prompt-engineering`** — writing instruction text models read, organized by the surface it lands on: one-shot

- requests, persistent context, tool and schema descriptions, delegated prompts. Covers the instruction budget, wording

- and timelessness rules, formatting choice, and the two behaviors that make reasonable instructions fail — literal

- following and instructions compounding with defaults

- - **`skill-engineering`** — author and maintain Agent Skills: the routing metadata that decides activation, proscriptive

- body content over worked examples, splitting by load condition, and evaluation against a no-skill baseline. Carries

- the archetypes, the portable-versus-Claude-Code frontmatter split, host behavior including the listing budget and

- compaction limits, and the supply-chain rules for publishing or installing a skill

- - **`subagent-engineering`** — design and maintain subagents: when isolation pays over the main conversation, the

- description that decides delegation, the frontmatter fields that govern a run, and the system prompt the agent wakes

- up with. Carries the false-positive calibration for reviewing agents, the mutating-agent isolation rule, the

- orchestration patterns, and the evaluation and troubleshooting depth

- - **`output-style-engineering`** — design output styles injected into the system prompt: choosing the style mechanism

- over CLAUDE.md or a hook, setting `keep-coding-instructions`, verifying injection with a canary, role framed as

- outcome instead of credentials, intent-carrying rules, and voice in rules instead of examples. Carries the file spec

- and built-in catalog, the creation patterns, the scoring dimensions, and the iteration diagnostics

- - **`prompt-terser`** — adherence-driven terseness audit for iteratively-edited prompts: same-thought-fewer-words cuts

- with U-curve discipline, narrative-vs-structural distinction, three-check falsification gate (verbosity-type →

- terseness → behavior preservation), and a bracketing preservation inventory that verifies load-bearing literals

- survive the cuts. Surviving narrative is rewritten rather than kept; borderline cuts go by default onto a restore list

- the caller draws from. User-invoked only (`disable-model-invocation`) — its triggers sit inside

- `prompt-engineering`'s, so leaving it in the routing pool only produced a contest it could not win

- - **`ai-engineer`** — collaborative AI engineering persona: a voice band pinning the register, conclusions first, dense

- register with stated exceptions, Simplified Technical English (ASD-STE100) and ubiquitous language, prose-floor

- formatting, vertical iteration

-

- ## Skill Dependencies

-

- ```

- prompt-engineering (foundation)

- ↑

- ├── skill-engineering (skills are prompts)

- ├── subagent-engineering (agent prompts are system prompts)

- ├── output-style-engineering (styles are system prompts)

- └── prompt-terser (audits existing prompts for drift)

- ```

-

- When creating skills, subagents, or output styles, invoke `prompt-engineering` for instruction design.

- This plugin covers AI artifact engineering within Claude Code:

-

- - Creating and improving prompts for any AI context

- - Building Claude Code skills, subagents, and output styles

-

- It does not cover:

-

- - General software engineering workflows (see `the-coder`)

- - Language-specific conventions (see language plugins)

- - Git workflows (see `git-commit`)

- - Skills reference `prompt-engineering` via `<prerequisite>` blocks because all AI artifacts are fundamentally prompts

- - Skills with external documentation dependencies maintain `.dev/reference-inventory.json` for doc fetching via CLI

- tools

- - For skill structure, routing metadata, packaging, and evaluation — invoke `skill-engineering`