skillify

A method for packaging a repeated, multi-step working procedure into a reusable SKILL.md file that coding agents can follow.

In plain words
What is it for?
It helps decide whether a recurring workflow deserves a skill, extract its fixed and variable steps, and document it for later reuse.
Why use it?
It avoids rewriting the same instructions and helps agents apply a stable process consistently across suitable projects.

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/phuonghx/aim-cli/skillify
Any agent
npx skills add phuonghx/aim-cli --skill skillify
Clone the repo
git clone --depth 1 https://github.com/phuonghx/aim-cli

Made for: Claude Code, Codex.

Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 872 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 $0.00092 $0.00872
Opus 5 $0.00046 $0.00436
Sonnet 5 $0.00018 $0.00174
Haiku 4.5 $0.00009 $0.00087

Measured yesterday against content hash b542f9b09a9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skillify 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 yesterday.

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.

aim/templates/aim-agents/skills/skillify/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skillify

A procedure you repeat is a procedure worth recording once. The third time you walk the same path, pave it — write it down as a skill so the path exists for everyone after you.

Decide whether it deserves a skill

Capture it when all of these hold:

  • The same flavor of task has shown up roughly three or more times.
  • It has a recognizable shape: several steps that stay constant from run to run.
  • It would still make sense in a different repository, not just this one.
  • A fresh agent with no prior context could act on it.

Skip it when any of these apply:

  • It is a single occurrence — just do the task.
  • It is glue specific to one codebase — that belongs in project memory, not a shared skill.
  • A skill already covers the ground — search the skills directory before adding a duplicate.

How to extract one

1. Name the invariants

Pull the pattern apart into three buckets:

  • Trigger — what kicks it off (a phrase, a file type, a domain).
  • Constant steps — the parts that never change between runs.
  • Variable parts — what differs each time, and the shape of the result.

2. Draft the file

Keep the frontmatter to just two keys. The description does the heavy lifting: it is how the skill gets matched later, so write it in the third person and state both what the skill does and when to reach for it (and when not to).

---
name: kebab-case-name
description: One to a few sentences, third person, describing what the skill does and the
  situations that call for it, plus what it is not for. No first person.
---

# Skill Name

A short framing line — the principle behind the skill.

## When it applies
- Conditions that should trigger it
- Conditions that should rule it out

## Procedure
### 1. First action
Concrete, do-this instructions.

### 2. Next action
...

### N. Confirm it worked
How to tell the procedure succeeded.

## Guidance
A handful of rules worth remembering.

3. Put it where skills live

.aim-agents/skills/<skill-name>/SKILL.md

Read the full file on GitHub · 106 lines

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. yesterday First seen · 106 lines · 92 tokens per session scan A b542f9b09a9e

Subscribe to this mod's changes

skillify is a skill published in the GitHub repository phuonghx/aim-cli (1 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 872 once invoked, about $0.0005 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 2026-08-31.

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