Agent Skill
Archify Tuning skill
archify-tuningtt-a1i/archify.agents/skills/archify-tuning/SKILL.md
Improve Archify diagram accuracy, visual quality and complete authoring speed with fewer repairs. Use for generation experiments or evaluating changes to layout, routing, diagnostics, authoring instructions and acceptance rules against actual diagrams and agent traces.
always on
49 tokname + description
once used
1,704 tokSKILL.md body
bundled files
85 scripts
repo stars
87kGitHub
Install the Archify Tuning skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/tt-a1i/archify --skill archify-tuning
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/tt-a1i/archify.git /tmp/archify mkdir -p ~/.claude/skills cp -R /tmp/archify/.agents/skills/archify-tuning ~/.claude/skills/archify-tuning
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 49 tok |
| When the agent uses it | The SKILL.md instructions | 1,704 tok |
| Only if opened | 8 bundled files (48 KB) | varies |
Until it is used, archify-tuning costs about 28× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 5 skills from tt-a1i/archify would load 401 tokens of descriptions. Skills vs MCP study
Checks
- Ships scripts the agent can run. Read them before installing.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Archify Tuning
- Product requirements and adjustable rules
- Measures
- Setup
- Loop
- When to stop an experiment
- Tools and reporting
More skills from tt-a1i/archify
- archifytt-a1i/archify
Create validated architecture, workflow, sequence, data-flow, lifecycle/state, ERD, class, tree, timeline, and waterfall diagrams as explorable standalone HTML with dark/light themes, motion and image/SVG/WebM export. Accept requirements or Mermaid; inspect repository evidence for code-backed diagrams. Use when visualizing systems, API calls, pipelines, schemas, histories, timings, or everyday steps, parts, relationships and states. Also turn an answer into a one-page explainer, with the conclusion first, structured panels, native diagrams and charts, when the user asks for a page, an explainer or an answer to share (做成一页, 用页面讲), or proactively when the user's rules opt in with an [archify explainer: ...] line. Not for dashboards.
168k82162 tok idle · 3,761 in use - archify-reviewtt-a1i/archify
Review Archify issues, PRs, or code through value, cost, and impact to support evidence-based maintenance decisions. Use for issue triage, change reviews, and code quality assessments.
87k42 tok idle · 254 in use - simplify-codebasett-a1i/archify
Simplification audit or authorized codebase simplification whose stated objective is to remove accidental complexity. Use for evidence-backed deletion or consolidation of dead code, duplicate state, redundant APIs or layers, ownerless abstractions, obsolete compatibility or design records, and over-engineering in any language; also use for 代码简化 or 熵回收. Do not use for general code review, onboarding, style-only refactoring, or performance tuning.
87k93 tok idle · 1,169 in use - test-valuett-a1i/archify
Improve test value and feedback cost when auditing slow, flaky, redundant or brittle tests; choosing tests during implementation; or reviewing test changes before a commit or PR. Keep ordinary implementation and pre-commit use scoped to the affected behavior, not a repository-wide audit.
87k55 tok idle · 1,614 in use