Author Skill logo

Author Skill

Community
ericrisco
author-skill

Use when authoring a NEW rsc skill or editing an existing one — scoping it to one job, writing the description that decides whether it ever loads, splitting the body into references/, writing its evals, auditing it against the rubric. NOT building a product feature (that is `specify`) and NOT designing an agent loop (that is `building-agents`).

Overview

Publisherericrisco
Repositoryrsc-harness
Skill nameauthor-skill
Stars
239
Forks
24
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ericrisco on GitHub. Read the source before you install it.

Installation

Install the Author Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ericrisco/rsc-harness/tree/main/skills/author-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ericrisco/rsc-harness.git /tmp/rsc-harness
mkdir -p .claude/skills
cp -r /tmp/rsc-harness/skills/author-skill .claude/skills/author-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Author Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Author Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Author Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

author-skill — write skills that trigger and teach

This is the meta skill: it authors and edits the other skills in the rsc catalog. A skill is two things bolted together — a description that fires at the right moment, and a body that makes the agent better once it fires. Most skills fail on the first. Treat them as two separate engineering problems with two separate quality bars.

Where the SDD chain (specify → plan → … → ship) builds product, author-skill builds the tools that build product. Use it whenever a skill is born or edited.

Not this skill — delegate: a product feature specced or planned → ../specify/SKILL.md, ../plan/SKILL.md. An autonomous agent or tool-calling loop → ../building-agents/SKILL.md. Generic project docs or a wiki article → the ../harness/SKILL.md 02-DOCS engine. Bootstrapping a workspace or profiling the user → ../init/SKILL.md.

Read 02-DOCS/wiki/harness/user-profile.md and speak in the register its technical_level records (technical terms, or plain words with analogies); ../init/SKILL.md sets it, and orient owns the voice. With no profile, use analogies and ask once "technical or with analogies?" — skill authoring is itself a technical act, so a non-technical author needs each convention explained, not just named.

What a skill is (the anatomy)

text
skills/<id>/
├── SKILL.md              the body: frontmatter (name + description + origin) then the prose
├── references/           progressive-disclosure detail, loaded only when the body points to it
│   └── <topic>.md
├── evals/
│   ├── cases.yaml        trigger + capability test cases
│   └── README.md         how to run the evals, honestly
└── scripts/              optional; verify.sh + helpers for skills with a checkable artifact
    └── verify.sh

The frontmatter decides if the skill loads. The body decides how good the agent is once it does.

The description — the single highest-leverage line

The description sits in context on every turn the skill is installed, invoked or not. The body is only paid for when the skill fires; the description is paid for always. So length here is a cost, never a credit. A vague description is a skill that never fires; an over-broad one hijacks unrelated turns. Get this right before anything else.

Rules, all enforced:

  1. Third person, present tense. "Use when authoring a new skill…" — never "I help you…" or "You should…". The agent is reading about the skill.
  2. Discriminative, not exhaustive. Lead with a Use when … clause naming the situation, then only the capabilities that separate this skill from its neighbours. Do not append a Triggers: '…', '…' phrase list: the model matches on meaning, so a keyword bank in three languages buys nothing and is charged on every turn. The test is discrimination, not coverage — could a reader pick this skill over its nearest sibling from this line alone?
  3. Draw the boundary. End with a NOT <x> (that is <sibling>) clause, naming a sibling that actually exists under skills/. Negative space prevents hijacking as much as positive matching causes firing.
  4. Aim ≤ 350 characters; 1024 is the schema-enforced hard limit. One physical line, wrapped in double quotes, internal quotes escaped or avoided. If it does not parse, the skill does not load.
  5. origin: risco on its own line. This marks it as ours.
yaml
# Good — situation, the few capabilities that discriminate, a real boundary
description: "Use when X happens or the user shows symptom Y — doing A, fixing B, choosing C. NOT Z (that is `sibling`)."

# Bad — first person, no situation, no boundary; competes with every sibling on every turn
description: "I help you write great skills and make them work."

The full recipe, the budget tactics, and a worked before/after → references/description-recipe.md.

Progressive disclosure — the body is an index, not an encyclopedia

The body is loaded in full whenever the skill fires, so every line competes for the agent's attention. Write the smallest body that still routes correctly: 400 lines is a ceiling, not a target, and there is no floor — a skill that does its job in 60 lines beats the same skill padded to 200. Push anything long, reference-like, or rarely-needed into references/<topic>.md and link it inline at the point of use ("full table → references/foo.md").

Decide where a paragraph lives:

Put it in the body when…Move it to references/ when…
The agent needs it on every runIt is needed only in a specific branch
It is a rule, a gate, or a decision pointIt is a long table, a catalog, or a template
It is short and load-bearingIt is reference detail that would bloat the body
Cutting it would change behaviorIt is an example that illustrates but does not instruct

Every file under references/ must be linked from the body. An unlinked reference is never loaded, so it is dead weight in the package — link it or delete it.

The hybrid structure — when each piece earns its place

  • SKILL.md — always. Frontmatter + focused body.
  • references/ — only when the body genuinely needs offloaded depth. Do not create an empty references/ to look complete; a single-file skill is fine.
  • evals/ — always. cases.yaml + README.md. A skill with no evals is unverifiable and does not ship.
  • scripts/verify.sh — only when the skill produces a checkable artifact (code, config, copy with a ban-list). Process skills — those judged on the safety rails they install in the agent's behavior, like the SDD-phase skills or this one — do not ship a verify.sh; their evals carry a capability scenario instead.

Orientation footer (required in every new skill)

Every new skill MUST end with the orientation footer so the harness never leaves the user in seco. Append verbatim:

markdown

## Orientación (siempre)

Habla con la voz de `orient`: frases cortas, una idea por frase, y cada respuesta se entiende sola. Registro técnico o con analogías según `technical_level` en `02-DOCS/wiki/harness/user-profile.md`. Cierra cada turno con el **bloque-brújula** (📍 dónde estás · ➡️ siguiente, terminando en pregunta; ✅ y 🧭 cuando hay algo hecho o decidido). **Nunca termines en seco.** Protocolo completo: skill `orient` → `skills/orient/references/orientation-contract.md`. (Defiere a `suggest` el "¿instalo la skill que falta?".)

The full protocol lives once in the orient skill; the footer only references it.

The authoring workflow

Run in order. Each step gates the next.

  1. Name & scope. One skill, one job. Pick a short kebab-case <id> that is the job, not the domain. If you can not say the job in one sentence, the scope is wrong — split it. Check no sibling already owns this; if one half-owns it, decide edit the sibling vs new skill before writing.
  2. Draft the description. Per the rules above. This first, because writing it forces the scope clear. → references/description-recipe.md.
  3. Outline the body. Method, rules, decision points. Mark what becomes a reference.
  4. Write the body in the rsc voice (see below). Tag every code/example fence with a language. Add a checklist or decision table only where the flow actually branches — not as decoration. Add a short anti-patterns table.
  5. Extract references for anything long or branch-specific, and link each one inline.
  6. Write the evals — cases.yaml then README.md. → references/eval-authoring.md.
  7. Wire it into the rsc plumbing (tags, recommends, npm run manifest, and indexing any artifact in 02-DOCS/wiki/index.md — the Knowledge map; root CLAUDE.md keeps only a short pointer). → references/rsc-conventions.md.
  8. Self-audit against the rubric (below). Fix every miss or justify it.

The rsc voice

Match the catalog, do not invent a new register:

  • Direct, second-person-to-the-agent instruction ("Read the profile first", "Cut any section with no job").
  • A rule gets stated where it applies, with a one-line why that makes it obviously absolute — not a lecture, and not a shouted NON-NEGOTIABLE.
  • Concrete over abstract: a number, a path, a Bad→Good pair beats an adjective.
  • Original prose. Mine ideas from anywhere; the words are Eric's. Do not reproduce another ecosystem's signature artifacts or phrasing — no borrowed "1% chance" urgency blocks, no copied rationalization wording, no *-reviewer-prompt.md files, no verbatim flowcharts. The rsc identity is its own.
  • Cross-reference siblings by name or ../<sibling>/SKILL.md, only ones that actually exist.

Match the form to the failure

Before you write an instruction, name the failure it's meant to prevent — then pick the form that actually fixes that failure. The instinct is to write a prohibition ("don't do X") for everything. That instinct is wrong for most failures, and measurably counter-productive for one class: a prohibition aimed at output shape tends to summon the very thing it forbids (the model attends to the named token), and can do worse than saying nothing at all. Match deliberately:

The failure is…Use this formWhy, and example
Discipline — the agent knows the rule but skips it under pressure (time, sunk cost, "just this once")The rule stated at the step it governs, with its why — plus one row in the anti-patterns tableA rule in an appendix is skimmed; a rule in context is followed. "Do not ship a failing test — a red test merged is a lie in the suite", written at the ship step. Do not build a separate rationalization bank restating rules already in the flow; it is paid for on every load and read as decoration.
Wrong-shaped output — tone, verbosity, format, structure come out wrongPositive recipe / contract (show the target shape)A prohibition ("don't be verbose", "no marketing fluff") makes it more likely — the model fixates on the banned shape. Give the shape to hit instead: "Reply in ≤3 sentences, lead with the verdict." Demonstrate, don't forbid.
Omitted element — the agent forgets a required pieceRequired structural slot (a checklist item or a template field it must fill)You can't prohibit an absence. Make the slot mandatory so its emptiness is visible — a Done-of-done checkbox, a template section, a result-envelope field.
Conditional behavior — right action depends on the situationPredicate-keyed conditional ("When X → do Y; otherwise Z")A flat rule fires in the wrong context. Key the behavior to its trigger so the agent branches correctly instead of over- or under-applying.

So: an anti-patterns table earns its place when it names concrete failure modes the flow above does not already state. A table that re-lists rules from the body is pure cost — delete it and move each rule to its step. And when you catch yourself writing "don't make it X" about the shape of an output, rewrite it as the shape to hit.

The best-practice rubric (audit before shipping)

A skill ships only when every box is checked or a miss is consciously justified.

  • Frontmatter parses as YAML; name matches the directory <id>; origin: risco present.
  • Description third-person, Use when… lead, an explicit NOT … (that is sibling) boundary naming a real sibling, ≤ 350 chars target / ≤ 1024 hard limit — judged on discrimination against the nearest sibling, not coverage.
  • One job. The body never drifts into a second skill's territory; it delegates instead.
  • Body ≤ 400 lines — a ceiling, not a target, with no floor. Long/branch-specific material lives in references/.
  • Every references/ file linked inline from the body; none orphaned.
  • Every fence language-tagged; no placeholder/TODO prose; examples concrete.
  • Checklist/decision table only where a flow branches; an anti-patterns table present, naming failure modes rather than restating rules.
  • Orient voice honored — reads technical_level from the profile and picks the register; short sentences, every answer understandable on its own.
  • Artifacts under 02-DOCS/wiki/ and indexed in 02-DOCS/wiki/index.md (the Knowledge map; root CLAUDE.md keeps only a short pointer), if the skill produces any.
  • Concrete tooling delegated to the stack skills rather than reinvented.
  • evals present — cases.yaml (≥5 should_trigger incl. non-obvious, ≥4 should_not_trigger each with a real-sibling route_to, ≥1 capability with a must_include rubric) + an honest README.md. scripts/eval-lint.sh passes — but it only checks presence and the counts (≥5/≥4/≥1) and that those keys are lists; the route_to-points-at-a-real-sibling, non-obvious phrasings, and must_include quality are yours to verify here, not the linter's.
  • verify.sh present iff the skill has a checkable artifact; process skills rely on evals.
  • Every must_include item discriminates — answerable by the scenario's task, plausibly caused by the skill and plausibly missed without it. An item both arms fail measures nothing and lowers the absolute; it has turned a real PASS into a FAIL here. → references/eval-authoring.md.
  • Sibling links resolve — every ../x/SKILL.md points to a skill that exists.
  • Wired — tags + recommends set, npm run manifest re-run, and npm run validate / npm run manifest:check pass (manifest current, no dangling recommends).

Full rubric rationale and the rsc plumbing steps → references/rsc-conventions.md.

Two ship gates: document AND behavior

The rubric above scores the skill as a document. That is one of two gates — a skill ships only when both are green:

  1. Static — the rubric above / scripts/skill-rubric.md, weighted score ≥ 8.5.

  2. Behavioral — scripts/skill-behavior-rubric.md: run the skill on its capability scenarios with and without it loaded, blind-grade both outputs, require absolute ≥ 8.5 and lift ≥ +1.0. Run it:

    bash
    # 1) execute + grade — invoke the Workflow tool:
    #      scriptPath: scripts/skill-behavior-eval.workflow.js   args: "<skill-id>"
    #    save the returned object to /tmp/<skill>-raw.json
    # 2) score + gate (exit 0 pass / 1 fail):
    node scripts/skill-behavior-eval.js --score /tmp/<skill>-raw.json

    A failing lift means the body adds nothing a bare agent didn't already do — fix the body, don't game the checklist.

Anti-patterns

Failure modeReality / fix
Description written last, once the body is doneThe description is why the body ever runs, and drafting it first forces the scope clear. Write it first, to bar.
Description padded for coverage — more phrasings, more languages, more verbsIt is in context on every turn, invoked or not. Prune until it discriminates against the nearest sibling and stops.
One skill covering specify + plan + implementMulti-job skills trigger fuzzily and teach poorly. One skill, one job — split it.
Body grown past ~400 lines "because the topic is rich"The agent skims what it cannot hold. Extract a reference and link it inline.
A references/ folder added to look thorough, or a reference nothing links toAn unlinked reference is never loaded — dead weight in the package. Link it at point of use or delete it.
Evals skipped: "I'll just test it by hand once"Unverifiable = does not ship. Write cases.yaml, near-misses with route_to included.
verify.sh added to a process skill for rigorA process skill has no artifact to grep. Its rigor is the capability eval.
../foo/SKILL.md linked to something not in this repoA dead link is a defect. Verify the directory exists under skills/.
Another catalog mirrored wholesale ("it's basically superpowers' writing-skills")Mine the idea, write it in the rsc voice. Copied artifacts or phrasing are a defect.

Project grounding (02-DOCS + CLAUDE.md)

When authoring produces a durable design note (a skill's scope decision, a description rationale worth keeping), persist it under 02-DOCS/wiki/sdd/ and index it in 02-DOCS/wiki/index.md (the Knowledge map; root CLAUDE.md keeps only a short pointer), per the ../harness/SKILL.md convention — never a stray file at the repo root. The skill's own evals/ is the executable record of intent; the wiki note is the human-readable why.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Author Skill AI skill do?

Use when authoring a NEW rsc skill or editing an existing one — scoping it to one job, writing the description that decides whether it ever loads, splitting the body into references/, writing its evals, auditing it against the rubric. NOT building a product feature (that is `specify`) and NOT designing an agent loop (that is `building-agents`).

Why use Author Skill on TypingMind?

Because you install it once and use it with any model. Author Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Author Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericrisco/rsc-harness/tree/main/skills/author-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Author Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Author Skill?

As many as you like. As long as a model supports skills, you can use Author Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Author Skill AI skill free?

Yes. It is published on GitHub by ericrisco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇