Guidelines
akash-network/node
Behavioral guidelines to reduce common LLM coding mistakes. An agent skill from akash-network/node.
This skill should be used only when the user explicitly asks to use $ralph-specum-refactor, or explicitly asks Ralph Specum in Codex to revise spec artifacts after implementation learnings.
Install Ralph Specum Refactor
$ npx skills add tzachbon/smart-ralph --skill ralph-specum-refactor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tzachbon/smart-ralph ralph-specum-refactor --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/tzachbon/smart-ralph.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ralph-specum-codex/skills/ralph-specum-refactor .claude/skills/ralph-specum-refactor && 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 "ralph-specum-refactor" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-refactor into .claude/skills/ralph-specum-refactor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-specum-refactor", 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/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-refactorType 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 tzachbon/smart-ralph --skill ralph-specum-refactor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tzachbon/smart-ralph ralph-specum-refactor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ralph-specum-codex/skills/ralph-specum-refactor .agents/skills/ralph-specum-refactor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ralph-specum-refactor" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-refactor into .agents/skills/ralph-specum-refactor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-specum-refactor", 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 tzachbon/smart-ralph --skill ralph-specum-refactor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tzachbon/smart-ralph ralph-specum-refactor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ralph-specum-codex/skills/ralph-specum-refactor .cursor/skills/ralph-specum-refactor && 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 "ralph-specum-refactor" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-refactor into .cursor/skills/ralph-specum-refactor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-specum-refactor", 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/tzachbon/smart-ralph.git --path plugins/ralph-specum-codex/skills/ralph-specum-refactor--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 tzachbon/smart-ralph --skill ralph-specum-refactor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tzachbon/smart-ralph ralph-specum-refactor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ralph-specum-codex/skills/ralph-specum-refactor .gemini/skills/ralph-specum-refactor && 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 "ralph-specum-refactor" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-refactor into .gemini/skills/ralph-specum-refactor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-specum-refactor", 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 tzachbon/smart-ralph ralph-specum-refactorInstalls 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 tzachbon/smart-ralph --skill ralph-specum-refactor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ralph-specum-codex/skills/ralph-specum-refactor .github/skills/ralph-specum-refactor && 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 "ralph-specum-refactor" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-refactor into .github/skills/ralph-specum-refactor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-specum-refactor", 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 tzachbon/smart-ralph --skill ralph-specum-refactor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tzachbon/smart-ralph ralph-specum-refactor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tzachbon/smart-ralph.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ralph-specum-codex/skills/ralph-specum-refactor .opencode/skills/ralph-specum-refactor && 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 "ralph-specum-refactor" agent skill from https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum-codex/skills/ralph-specum-refactor into .opencode/skills/ralph-specum-refactor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ralph-specum-refactor", 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
ralph-specum-refactor- GitHub stars
- 558
- Token cost
- ~613 tokens
- SKILL.md length
- 270 words
- Files
- 2
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- MIT
At a glance
This skill should be used only when the user explicitly asks to use $ralph-specum-refactor, or explicitly asks Ralph Specum in Codex to revise spec artifacts after implementation learnings.
- Works in 10 steps: Resolve the target spec. → Read .progress.md and existing spec files. → Run prototype_records.py reconcile… → …
- Explicitly asks to use $ralph-specum-refactor
- SKILL.md covers Contract, Action and Response Handoff
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ralph Specum Refactor is an agent skill from tzachbon/smart-ralph. This skill should be used only when the user explicitly asks to use $ralph-specum-refactor, or explicitly asks Ralph Specum in Codex to revise spec artifacts after implementation learnings.
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Development, covering Refactoring. The repository describes itself as: Spec-driven development with smart compaction. Claude Code plugin combining Ralph Wiggum loop with structured specification workflow. The licence is MIT.
When your agent uses it
- Explicitly asks to use $ralph-specum-refactor
- Explicitly asks Ralph Specum in Codex to revise spec artifacts after implementation learnings
Example prompts
- “/ralph-specum-refactor”
Workflow steps
10 steps, taken from the first numbered list in SKILL.md.
- Resolve the target spec.
- Read .progress.md and existing spec files.
- Run prototype_records.py reconcile whenever .ralph-state.json exists, including when activePrototypes is empty, then run select-downstream…
- When refactor returns to execution, restore taskIndex from the blocking entry's returnTaskIndex through merge_state.py before dispatch.
- Delegate spec revision to a refactor-specialist sub-agent. Pass .progress.md, existing spec files, and implementation learnings. The…
- The sub-agent preserves newer Ralph concepts already expressed in the spec, including approval checkpoints, granularity choices, [P]…
- The sub-agent updates files in order
- If requirements changed, revisit design and tasks.
- If design changed, revisit tasks.
- Record the rationale and cascade decisions in .progress.md.
What it can do on your machine
Read from SKILL.md and the folder at commit ac7251a. 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
Ralph Specum Refactor loads about 613 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 270 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 tzachbon/smart-ralph at commit ac7251a, republished under its MIT licence (© tzachbon). 270 words, ~613 tokens.
Download SKILL.mdSave it as
.claude/skills/ralph-specum-refactor/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- ralph-specum-refactor
- description
- This skill should be used only when the user explicitly asks to use `$ralph-specum-refactor`, or explicitly asks Ralph Specum in Codex to revise spec artifacts after implementation learnings.
- metadata.surface
- helper
- metadata.action
- refactor
Ralph Specum Refactor
You are a coordinator, not a refactor specialist -- delegate spec revision to a refactor-specialist sub-agent.
Contract
- Resolve the active spec by explicit path, exact name, or
.current-spec - Review files in order:
requirements.md,design.md,tasks.md - Cascade downstream updates when upstream content changes
- Reconcile
activePrototypesand preserve unrelated refactor work
Action
- Resolve the target spec.
- Read
.progress.mdand existing spec files. - Run
prototype_records.py reconcilewhenever.ralph-state.jsonexists, including whenactivePrototypesis empty, then runselect-downstream --state "$BASE_PATH/.ralph-state.json" --target "$FILE" --path "$FILE"with the resolvedbasePath. Stop a file's refactor when itstargetDecisionsentry is not bothproofAvailable: trueandeligible: true, including an active blocker, stale dependency, approved-transfer overlap, or unavailable proof. - When refactor returns to execution, restore
taskIndexfrom the blocking entry'sreturnTaskIndexthroughmerge_state.pybefore dispatch. - Delegate spec revision to a
refactor-specialistsub-agent. Pass.progress.md, existing spec files, and implementation learnings. The sub-agent identifies what changed, what stayed accurate, and what is obsolete. Do NOT revise spec files yourself. - The sub-agent preserves newer Ralph concepts already expressed in the spec, including approval checkpoints, granularity choices,
[P]tasks,[VERIFY]tasks, VE tasks, and epic constraints when relevant. - The sub-agent updates files in order:
requirements.mddesign.mdtasks.md
- If requirements changed, revisit design and tasks.
- If design changed, revisit tasks.
- Record the rationale and cascade decisions in
.progress.md.
Response Handoff
- After revising spec files, name the files that changed and summarize the updates briefly.
- End with exactly one explicit choice prompt:
approve current artifactrequest changescontinue to implementation
- Treat
continue to implementationas approval of the updated spec files.
© tzachbon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in plugins/ralph-specum-codex/skills/ralph-specum-refactor of tzachbon/smart-ralph.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit ac7251a
Compare with similar skills
Ralph Specum Refactor 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 |
|---|---|---|---|---|---|---|
| Ralph Specum Refactor this skilltzachbon/smart-ralph | 558 | — | ~613 | Automated safety check: Pass | MIT | |
| Guidelinesakash-network/node | 1.1k | 20 repos | ~577 | Automated safety check: Pass | MIT | |
| Component Refactoringlangflow-ai/langflow | 155k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Migrate Core Code to Submodulestinyhumansai/openhuman | 42k | — | ~2.6k | Automated safety check: Pass | GPL-3.0 | |
| ast-grep Structural Searchcode-yeongyu/oh-my-openagent | 70k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Systematic Code Refactoringluongnv89/claude-howto | 42k | — | ~3k | Automated safety check: Pass | MIT |
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Component Refactoring
langflow-ai/langflow
Refactor high-complexity React components in Langflow frontend.
Migrate Core Code to Submodules
tinyhumansai/openhuman
Plans and carries out moving non-host-specific code and its tests from the OpenHuman core into vendored tiny submodule libraries, then releases the submodule and re-pins the host.
ast-grep Structural Search
code-yeongyu/oh-my-openagent
Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.
Systematic Code Refactoring
luongnv89/claude-howto
Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.
Codex
skills-directory/skill-codex
A skill your agent uses when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
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Related
Categories
Questions about Ralph Specum Refactor
What does Ralph Specum Refactor do?
This skill should be used only when the user explicitly asks to use $ralph-specum-refactor, or explicitly asks Ralph Specum in Codex to revise spec artifacts after implementation learnings. Ralph Specum Refactor is an agent skill from tzachbon/smart-ralph. This skill should be used only when the user explicitly asks to use $ralph-specum-refactor, or explicitly asks Ralph Specum in Codex to revise spec artifacts after implementation learnings.
When should I use Ralph Specum Refactor?
Ralph Specum Refactor fits situations like: explicitly asks to use $ralph-specum-refactor; explicitly asks Ralph Specum in Codex to revise spec artifacts after implementation learnings.
How do I install Ralph Specum Refactor in Claude Code?
Run `npx skills add tzachbon/smart-ralph --skill ralph-specum-refactor -a claude-code`. Or copy the skill folder (plugins/ralph-specum-codex/skills/ralph-specum-refactor in tzachbon/smart-ralph) into .claude/skills/ralph-specum-refactor in your project. Claude Code loads it when a task matches its description.
How do I install Ralph Specum Refactor in Codex?
Run `npx skills add tzachbon/smart-ralph --skill ralph-specum-refactor -a codex`. Or copy the skill folder (plugins/ralph-specum-codex/skills/ralph-specum-refactor in tzachbon/smart-ralph) into .agents/skills/ralph-specum-refactor in your project. Codex loads it when a task matches its description.
Can I use Ralph Specum Refactor 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 tzachbon/smart-ralph --skill ralph-specum-refactor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ralph-specum-refactor, .gemini/skills/ralph-specum-refactor, .github/skills/ralph-specum-refactor and .opencode/skills/ralph-specum-refactor in your project.
What does Ralph Specum Refactor need to run?
SKILL.md names no scripts, command-line tools or credentials: Ralph Specum Refactor is instructions for the agent only.
Does Ralph Specum Refactor 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 Ralph Specum Refactor 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 Ralph Specum Refactor use?
Ralph Specum Refactor 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 Ralph Specum Refactor use?
About 613 tokens (SKILL.md is roughly 2.5k 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 Ralph Specum Refactor?
Skills that share tags, products or a category with Ralph Specum Refactor: Guidelines (akash-network/node, 1.1k stars), Component Refactoring (langflow-ai/langflow, 155k stars), Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars) and ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ralph Specum Refactor?
tzachbon (a GitHub user) maintains it in tzachbon/smart-ralph, which has 558 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 16, 2026.
Source: tzachbon/smart-ralph on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.