skill-creator

A guide for turning a workflow into a reusable skill: a file of instructions that an AI coding agent can apply later. It covers where to store the skill, how to describe when it should run, and how to record proven steps.

In plain words
What is it for?
Use it when creating a new agent skill, extending an existing one, choosing its trigger description, or documenting commands and rules that worked.
Why use it?
It helps preserve a successful process so it does not need to be explained from scratch each time. It also reduces duplicate or poorly triggered skills.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/zfinix/aster/skill-creator
Any agent
npx skills add Zfinix/aster --skill skill-creator
Clone the repo
git clone --depth 1 https://github.com/Zfinix/aster

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 541 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00057 $0.00541
Opus 5 $0.00028 $0.00270
Sonnet 5 $0.00011 $0.00108
Haiku 4.5 $0.00006 $0.00054

Measured 2d ago against content hash c667f464d576, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-creator 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 2d 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.

crates/aster-skills/optional-skills/skill-creator/SKILL.md · 37 lines

What it actually says

Skill creator

  1. Check the index first. If an existing skill already covers the workflow, extend that skill's file instead of creating a near-duplicate.
  2. Confirm before creating. A skill is a repo or config file; say what you are about to write and where, and get a yes. Exception: the user already asked for the skill in this turn.
  3. Pick the root by scope. Project-specific workflow: .aster/skills/<name>/SKILL.md in the repo. Personal preference that applies everywhere: <aster home>/skills/<name>/SKILL.md. Kebab-case name, under 64 characters.
  4. The description is the trigger, so write it as one. The index shows only name and description; the body loads when a request matches. State what the skill does, then the concrete situations that should fire it: "Use when the user asks to X, mentions Y, or a Z fails."
  5. Body format: numbered imperative rules with counter-examples. Each rule is one behavior, stated as a command, with a literal do-this and never-this where it helps. Write "Stage named files: git add src/a.rs. Never git add -A." Never write essays about philosophy.
  6. Capture the evidence, not the theory. Put in the exact commands that worked this session, the failure that motivated the rule, and the check that proves the workflow succeeded. A skill mined from a real session beats one written from imagination.
  7. Keep it small. A few hundred to a couple thousand words. Past that, split into two skills with distinct triggers.
  8. Frontmatter is exactly name and description between --- fences, then the markdown body. Verify after writing: the skill should appear in the index next session, and read_skill should return the body now.
  9. Corrections are skill fuel. When the user corrects the same thing a second time, that is the signal: offer to fold it into a skill or a remember note so they never repeat it again.
Changes

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.

  1. 2d ago First seen · 37 lines · 57 tokens per session scan A c667f464d576

Subscribe to this mod's changes

skill-creator is a skill published in the GitHub repository Zfinix/aster (40 stars, last pushed 7d ago), licensed Apache-2.0. It adds 57 tokens to every session and 541 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

lemma-evals

Design, run, and review repeatable evaluations for Lemma agents, functions, and workflows. Use when defining evaluation contracts and case datasets, comparing a baseline with a candidate revision or runtime, checking deterministic correctness or rubric-scored judgment, measuring repeated-run variance, testing…

lemma-work/lemma-platform · 102 tokens

lemma-skill-creator

Create, revise, publish, and smoke-test pod-owned Lemma agent skills under /skills/skill-name. Use when defining a skill's triggers and instructions, organizing its references or scripts, safely updating an existing custom skill, publishing one through Lemma files, or checking that an agent discovers and follows it.…

lemma-work/lemma-platform · 86 tokens

coordinate

Coordinate a small team of Qwen Code teammates with enforced read-only workers, an optional worktree-pinned writer, shared tasks, peer messages, and existing Agent View tabs. Invoke explicitly with /coordinate.

QwenLM/qwen-code · 43 tokens

Prompting

Meta-prompting standard library for generating, optimizing, and composing prompts programmatically via Standards, Handlebars Templates, and Tools; output is always a prompt to use elsewhere, not final content. USE WHEN meta-prompting, template generation, prompt optimization, prompt engineering, write a prompt, create…

danielmiessler/LifeOS · 90 tokens

BitterPillEngineering

Audits any AI instruction set for over-prompting using the core test — would a smarter model make this rule unnecessary? Applies Five Questions to every rule (Claude already does this? Contradiction? Redundant? One-off fix? Vague?) then classifies as CUT/RESOLVE/MERGE/EVALUATE/SHARPEN/MOVE/KEEP. Workflows: Audit (full…

danielmiessler/LifeOS · 150 tokens

Fabric

Execute any of 240+ specialized prompt patterns natively across Extraction, Summarization, Analysis, Creation, Improvement, Security, Rating. Common: extractwisdom, createthreatmodel, analyzeclaims, improvewriting, reviewcode, mermaid, youtubesummary. CLI used only for YouTube transcript (-y) and URL fallback (-u).…

danielmiessler/LifeOS · 136 tokens