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Template Reference First Agent Skill

| Internal template for creating or refactoring a skill into the repository's reference-first shape.

5k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
496
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/WILLOSCAR/research-units-pipeline-skills --skill _template_reference_first

What comes with it

16 613 bytes besides the instruction
assets/schema.json
references/examples_bad.md
references/examples_good.md
references/overview.md
scripts/run.py

The instruction itself

10 sections, as written by the author

Reference-First Skill Template

Why this exists

This package is the default starting point for new or refactored skills in this repo.

It demonstrates the intended split of responsibilities:

  • SKILL.md routes the workflow
  • references/ holds method, judgment, and exemplars
  • assets/ holds machine-readable contracts
  • scripts/ handles deterministic execution only

Use it as a shape to copy and customize, not as a domain-specific skill.

Inputs

  • the job the skill should encode
  • the expected inputs and outputs for that job
  • acceptance criteria and failure conditions
  • any domain packs, schemas, or existing artifacts that must be reused

Outputs

  • a lean SKILL.md
  • references/overview.md
  • references/examples_good.md
  • references/examples_bad.md
  • assets/schema.json
  • scripts/run.py

Workflow

  • Define the job and its boundary
  • write down the trigger, intended outcome, and explicit non-goals
  • separate reusable behavior from one-off project context
  • Write SKILL.md as a router
  • keep only the activation rule, inputs, outputs, workflow, block conditions, and resource routing
  • do not copy large judgment rules, domain essays, or sentence banks into this file
  • Move reusable thinking into references/
  • put domain knowledge, decision rubrics, and method notes in references/overview.md
  • if the skill can emit reader-facing text, include both references/examples_good.md and references/examples_bad.md
  • keep reference files one hop away from SKILL.md; avoid deep reference chains
  • Put contracts into assets/
  • store machine-readable schemas, templates, or static resource packs in assets/
  • use assets/schema.json for the structured artifact that the skill validates or emits
  • Keep scripts/run.py deterministic
  • allow file discovery, normalization, validation, manifest generation, and external tool calls
  • keep prose templates, domain defaults, and reader-facing judgment out of Python
  • Validate hygiene before reuse
  • make sure the package has no unresolved placeholders in reader-facing examples
  • make sure SKILL.md explicitly tells the agent when to read each reference file

When to read references/

  • Always read references/overview.md before customizing or applying this template.
  • Read references/examples_good.md when the skill writes reader-facing text or shapes another writer skill.
  • Read references/examples_bad.md when cleaning up generator voice, pipeline jargon, or weak deliverable framing.
  • If the skill has domain variants, add explicit domain-pack references and mention the selection rule here.

Assets to reuse

  • assets/schema.json: a generic contract for a reference-first skill manifest; adapt it to the concrete skill you are building.

Script role

  • scripts/run.py is a minimal validator and manifest builder.
  • Read or patch the script only when you need deterministic behavior.
  • Do not rely on the script to supply the skill's method, voice, domain taxonomy, or reader-facing examples.

Block conditions

Stop and fix the package before reuse if any of these are true:

  • SKILL.md duplicates long reference content instead of routing to references/
  • run.py contains domain defaults, sentence libraries, or filler prose
  • reader-facing examples contain unresolved placeholders or internal pipeline jargon
  • the schema does not match the artifact the skill is supposed to validate or emit

Done checklist

  • SKILL.md stays lean and references other files explicitly
  • references/ contains the actual method and exemplars
  • assets/ contains machine-readable contracts only
  • scripts/run.py stays deterministic and small
  • the package can be understood by reading SKILL.md and the referenced files without reading all Python first

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How to use it

Copy the folder

Take willoscar/_template_reference_first from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.