Antipattern Prevention
doorkeeper-gem/doorkeeper
Avoid common Ruby and Rails antipatterns that degrade maintainability and performance.
Guides decisions about when and how to extract code into services, queries, concerns, form objects, or other patterns.
Install Extraction Timing
$ npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ThibautBaissac/rails_ai_agents extraction-timing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/extraction-timing .claude/skills/extraction-timing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "extraction-timing" agent skill from https://github.com/ThibautBaissac/rails_ai_agents/tree/main/.agents/skills/extraction-timing into .claude/skills/extraction-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-timing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ThibautBaissac/rails_ai_agents/tree/main/.agents/skills/extraction-timingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ThibautBaissac/rails_ai_agents extraction-timing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/extraction-timing .agents/skills/extraction-timing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "extraction-timing" agent skill from https://github.com/ThibautBaissac/rails_ai_agents/tree/main/.agents/skills/extraction-timing into .agents/skills/extraction-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-timing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ThibautBaissac/rails_ai_agents extraction-timing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/extraction-timing .cursor/skills/extraction-timing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "extraction-timing" agent skill from https://github.com/ThibautBaissac/rails_ai_agents/tree/main/.agents/skills/extraction-timing into .cursor/skills/extraction-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-timing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ThibautBaissac/rails_ai_agents.git --path .agents/skills/extraction-timing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ThibautBaissac/rails_ai_agents extraction-timing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/extraction-timing .gemini/skills/extraction-timing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "extraction-timing" agent skill from https://github.com/ThibautBaissac/rails_ai_agents/tree/main/.agents/skills/extraction-timing into .gemini/skills/extraction-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-timing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ThibautBaissac/rails_ai_agents extraction-timingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/extraction-timing .github/skills/extraction-timing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "extraction-timing" agent skill from https://github.com/ThibautBaissac/rails_ai_agents/tree/main/.agents/skills/extraction-timing into .github/skills/extraction-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-timing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ThibautBaissac/rails_ai_agents extraction-timing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ThibautBaissac/rails_ai_agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/extraction-timing .opencode/skills/extraction-timing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "extraction-timing" agent skill from https://github.com/ThibautBaissac/rails_ai_agents/tree/main/.agents/skills/extraction-timing into .opencode/skills/extraction-timing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extraction-timing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
extraction-timing- GitHub stars
- 665
- Token cost
- ~1.2k tokens
- SKILL.md length
- 402 words
- Files
- 1
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- MIT
At a glance
Guides decisions about when and how to extract code into services, queries, concerns, form objects, or other patterns.
- Deciding whether to extract code
- SKILL.md covers Core Philosophy: Skinny…, Extraction Thresholds, Decision Tree: "Where Should… and Settled Debates, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Choosing between patterns (service vs concern vs query)
What it does
Extraction Timing is an agent skill from ThibautBaissac/rails_ai_agents. Guides decisions about when and how to extract code into services, queries, concerns, form objects, or other patterns. Use when deciding whether to extract code, choosing between patterns (service vs concern vs query), evaluating if a base class or abstraction is needed, or when user mentions refactoring, extraction, code organization, or "where should this go." WHEN NOT: Implementing a specific pattern already decided on (use specialist agents like service-agent, query-agent, or model-agent), writing tests (use…
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Game Development, covering Backend development, Game design and Refactoring. The repository describes itself as: Specialized AI skills, agents, rules and hooks for modern Rails AI driven-development + Spec-Driven-Development kit + MCP. The licence is MIT.
When your agent uses it
- Deciding whether to extract code
- Choosing between patterns (service vs concern vs query)
- Evaluating if a base class
- Abstraction is needed
Example prompts
- “where should this go.”
- “Use the extraction-timing skill to guide decisions about when and how to extract code into services, queries, concerns, form objects, or other…”
- “/extraction-timing”
What it can do on your machine
Read from SKILL.md and the folder at commit 03622f2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Extraction Timing loads about 1.2k tokens when it runs. Until then it costs about 151 tokens; SKILL.md has 402 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ThibautBaissac/rails_ai_agents at commit 03622f2, republished under its MIT licence (© ThibautBaissac). 402 words, ~1,247 tokens.
Download SKILL.mdSave it as
.claude/skills/extraction-timing/SKILL.md (or your agent's skills folder).- name
- extraction-timing
- description
- Guides decisions about when and how to extract code into services, queries, concerns, form objects, or other patterns. Use when deciding whether to extract code, choosing between patterns (service vs concern vs query), evaluating if a base class or abstraction is needed, or when user mentions refactoring, extraction, code organization, or "where should this go." WHEN NOT: Implementing a specific pattern already decided on (use specialist agents like service-agent, query-agent, or model-agent), writing tests (use rspec-agent), or architecture-level design (use rails-architecture).
- user-invocable
- false
You are an expert in Rails code organization and extraction decisions. Help decide when to extract, what pattern to use, and when to keep it simple.
Core Philosophy: Skinny Everything
The 2025 Rails consensus has evolved beyond "Fat Models" to Skinny Everything:
- Controllers: orchestrate (delegate to services, render responses) -- max ~10 lines per action
- Models: persist (validations, associations, scopes, simple predicates) -- max ~100 lines
- Services: contain business logic (multi-step operations, external calls, orchestration)
- Views: display markup with zero logic
Extraction Thresholds
| Signal | Action |
|---|---|
| Controller action exceeds ~10 lines of business logic | Extract to service object |
| Model exceeds ~100 lines | Extract business logic to services, complex queries to query objects |
| Query joins multiple tables or has conditional clauses | Extract to query object |
| Form touches multiple models or has custom validation | Extract to form object |
| Display formatting logic in model | Extract to presenter |
| UI element reused across 2+ views | Extract to ViewComponent |
| Shared behavior across 2+ models (narrow, simple) | Extract to concern |
| 5+ concrete implementations with identical structure | Extract base class |
| One-off operation | Don't extract. Inline is fine. |
Decision Tree: "Where Should This Code Go?"
Is it a database query?
├── Simple (one table, one condition) → Model scope
└── Complex (joins, conditionals, reused) → Query object
Is it business logic?
├── Simple CRUD on one model → Controller inline (or model method)
├── Multi-step operation → Service object
├── Involves external API → Service object
└── Spans multiple models → Service object with transaction
Is it shared behavior?
├── Property of the model (soft-delete, slugs, search) → Concern
└── Operation on the model (checkout, import, sync) → Service object
Is it display logic?
├── Formatting one model's data → Presenter (SimpleDelegator)
├── Reusable UI element → ViewComponent
└── Simple helper method → Keep in helper (use sparingly)
Is it validation?
├── Single model, standard rules → Model validation
├── Multi-model form → Form object
└── Business rule (not data integrity) → Service validationSettled Debates
Concerns vs Service Objects
| Concerns | Service Objects | |
|---|---|---|
| Use for | Simple shared model properties | Multi-step business operations |
| Examples | SoftDeletable, Searchable, Sluggable | CreateOrder, ProcessRefund, ImportCsv |
| Max size | ~30 lines | No hard limit (but SRP applies) |
| Test via | Including model's specs | Isolated unit specs |
Rule: If the behavior is a property of the model, use a concern. If it's an operation on the model, use a service.
Show full SKILL.md (153 more words)Show less
STI vs Polymorphic Associations
| STI | Polymorphic | |
|---|---|---|
| Use when | Subclasses share >80% of columns | Types have unique attributes |
| Table | One shared table with type column | Separate tables per type |
| Avoid when | >20% columns are NULL for some subtypes | Types are fundamentally similar |
Callbacks vs Explicit Calls
Rule: Callbacks for data normalization only. Everything else is explicit.
| Acceptable Callbacks | Must Be Explicit (in services) |
|---|---|
before_validation :strip_whitespace | Sending emails |
before_save :downcase_email | Enqueuing background jobs |
before_destroy :check_dependencies | Calling external APIs |
after_initialize :set_defaults | Creating related records with business logic |
Anti-Pattern Checklist
Before extracting, verify you're not creating:
- A service that wraps a single
model.update!call (Service Graveyard) - A base class for only 2 services (Premature Abstraction)
- A concern with multiple responsibilities (Kitchen Sink Concern)
- A helper that should be a presenter or component
- An abstraction for a hypothetical future need (YAGNI violation)
Reference
See @docs/rails-development-principles.md for the complete development principles guide including SOLID, testing strategy, security, and performance.
© ThibautBaissac, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/extraction-timing of ThibautBaissac/rails_ai_agents.
Open the folder on GitHubat commit 03622f2
Compare with similar skills
Extraction Timing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Extraction Timing this skillThibautBaissac/rails_ai_agents | 665 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Antipattern Preventiondoorkeeper-gem/doorkeeper | 5.5k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Layered Railsevilmartians/redprints-cfp | 108 | 1 repos | ~4.1k | Automated safety check: Pass | None | |
| Bootui Java Developmentjdubois/boot-ui | 307 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Engineering PrinciplesAzure/agent-app-orchestrator | 103 | — | ~282 | Automated safety check: Pass | MIT | |
| Spring Data Jparrezartprebreza/spring-boot-skills | 298 | — | ~3k | Automated safety check: Pass | MIT |
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Related
Questions about Extraction Timing
What does Extraction Timing do?
Guides decisions about when and how to extract code into services, queries, concerns, form objects, or other patterns. Extraction Timing is an agent skill from ThibautBaissac/rails_ai_agents. Guides decisions about when and how to extract code into services, queries, concerns, form objects, or other patterns.
When should I use Extraction Timing?
Extraction Timing fits situations like: deciding whether to extract code; choosing between patterns (service vs concern vs query); evaluating if a base class; abstraction is needed.
How do I install Extraction Timing in Claude Code?
Run `npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing -a claude-code`. Or copy the skill folder (.agents/skills/extraction-timing in ThibautBaissac/rails_ai_agents) into .claude/skills/extraction-timing in your project. Claude Code loads it when a task matches its description.
How do I install Extraction Timing in Codex?
Run `npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing -a codex`. Or copy the skill folder (.agents/skills/extraction-timing in ThibautBaissac/rails_ai_agents) into .agents/skills/extraction-timing in your project. Codex loads it when a task matches its description.
Can I use Extraction Timing in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ThibautBaissac/rails_ai_agents --skill extraction-timing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/extraction-timing, .gemini/skills/extraction-timing, .github/skills/extraction-timing and .opencode/skills/extraction-timing in your project.
What does Extraction Timing need to run?
SKILL.md names no scripts, command-line tools or credentials: Extraction Timing is instructions for the agent only.
Does Extraction Timing access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Extraction Timing safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Extraction Timing use?
Extraction Timing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Extraction Timing use?
About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Extraction Timing?
Skills that share tags, products or a category with Extraction Timing: Antipattern Prevention (doorkeeper-gem/doorkeeper, 5.5k stars), Layered Rails (evilmartians/redprints-cfp, 108 stars), Bootui Java Development (jdubois/boot-ui, 307 stars) and Engineering Principles (Azure/agent-app-orchestrator, 103 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Extraction Timing?
ThibautBaissac (a GitHub user) maintains it in ThibautBaissac/rails_ai_agents, which has 665 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on June 1, 2026.
Source: ThibautBaissac/rails_ai_agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.