help
Skill5 starsChanged 13 days agoMITView on GitHub
Guide on using oh-my-codex plugin
76 other projects use a version of this.
Adopted by
Most recently taken up by
- iskron-ai/skillstheir own version, first seen Nov 8, 2026
- nearmap/shipyardtheir own version, first seen Nov 8, 2026
- tristanphvn/keeltheir own version, first seen Nov 8, 2026
- Jasenpan1987/multi-codetheir own version, first seen Nov 8, 2026
- codewhale-hq/codewhale-plugin-marketplacetheir own version, first seen Nov 8, 2026
- onetapstudiogames/1f3d9-citylifetheir own version, first seen Nov 8, 2026
Used with
Projects with it also use create-stories, story-done and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
lilangMaxSkillcreate-stories
Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.
Also in 9 projects that use this
lilangMaxSkillstory-done
End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.
Also in 9 projects that use this
- +10 more from lilangMax
Other versions76 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 76
- Donchitos/Claude-Code-Game-Studios★ 27ksame name
- parcadei/Continuous-Claude★ 3.9ksame name
- parcadei/Continuous-Claude-v2★ 3.9ksame name
- parcadei/Continuous-Claude-v3★ 3.9ksame name
- agenticnotetaking/arscontexta★ 3.5ksame name
- indranilbanerjee/digital-marketing-pro★ 934same name
- waynesutton/markdown-site★ 628same name
- bitwize-music-studio/claude-ai-music-skills★ 589same name
- andrew-shwetzer/career-ops-plugin★ 501same name
- andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-★ 500same name
66 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository119 other files it gives its agents.
- AGENTS.mdAGENTS.md
- templates/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- accessibilitySkill
- frontend-designSkill
- python-background-jobsSkill
- python-executorSkill
- python-testing-patternsSkill
- seoSkill
- ai-slop-cleanerSkill
- analyzeSkill
- api-and-interface-designSkill
- ask-claudeSkill
- ask-geminiSkill
- autopilotSkill
- browser-testing-with-devtoolsSkill
- build-fixSkill
- cancelSkill
- ci-cd-and-automationSkill
- clawd-change-workflowSkill
- code-review-and-qualitySkill
- code-reviewSkill
- code-simplificationSkill
- configure-notificationsSkill
- context-engineeringSkill
- debugging-and-error-recoverySkill
- deep-interviewSkill
- deepsearchSkill
- deprecation-and-migrationSkill
- doctorSkill
- documentation-and-adrsSkill
- ecomodeSkill
- frontend-ui-engineeringSkill
- frontend-ui-uxSkill
- git-masterSkill
- git-workflow-and-versioningSkill
- hudSkill
- idea-refineSkill
- incremental-implementationSkill
- intent_routerSkill
- keyword_registrySkill
- mode_stateSkill
- noteSkill
- omx-setupSkill
- performance-optimizationSkill
- pipeline_orchestratorSkill
- pipelineSkill
- planning-and-task-breakdownSkill
- planSkill
- ralph-initSkill
- ralph_loopSkill
- ralphSkill
- ralplanSkill
- android-reverse-engineeringSkill
- api-securitySkill
- apk-reverseSkill
- attack-chainSkill
- binary-diffSkill
- browser-automationSkill
- browser-extension-reverseSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 57 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 42
ralph includes ultrawork: When you activate ralph mode, it automatically includes ultrawork's parallel execution.
- Distinctive: line 55
If you haven't configured OMX yet:
- Distinctive: line 63
If you only need lightweight directory guidance scaffolding for AGENTS.md files, use:
- Distinctive: line 192
If no data found:
“Common” is measured: kept by at least 6 in 10 of the 57 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
clawd 路径适配(重要):本技能移植自 oh-my-codex,文中所有
~/.codex/...、.codex/skills/、CODEX_HOME都是 Codex 时代的路径。在 clawd 里真实生效的是:
- 技能位置:
<项目>/skills/<name>/SKILL.md(支持分组子目录,如skills/reverse/<sub>/SKILL.md,发现逻辑是递归的)- 运行期数据/配置:
<项目>/.clawd/(sessions/、logs/、features.json等)- 查当前实际发现到的技能:
clawd hud或直接调skill工具;诊断环境用clawd doctor只有当你确实在 Codex 里运行本技能时,
~/.codex/...那套路径才成立。 在 clawd 里照着~/.codex/...找文件只会得到"不存在"。
How OMX Works
You don't need to learn any commands! OMX enhances Codex CLI with intelligent behaviors that activate automatically.
What Happens Automatically
| When You... | I Automatically... |
| Give me a complex task | Parallelize and delegate to specialist agents |
| Ask me to plan something | Start a planning interview |
| Need something done completely | Persist until verified complete |
| Work on UI/frontend | Activate design sensibility |
| Say "stop" or "cancel" | Intelligently stop current operation |
Magic Keywords (Optional Shortcuts)
You can include these words naturally in your request for explicit control:
| Keyword | Effect | Example |
| ralph | Persistence mode | "ralph: fix all the bugs" |
| ralplan | Iterative planning | "ralplan this feature" |
| ulw | Max parallelism | "ulw refactor the API" |
| plan | Planning interview | "plan the new endpoints" |
ralph includes ultrawork: When you activate ralph mode, it automatically includes ultrawork's parallel execution. No need to combine keywords.
Stopping Things
Just say:
- "stop"
- "cancel"
- "abort"
I'll figure out what to stop based on context.
First Time Setup
If you haven't configured OMX yet:
/omx-setupThis is the only command you need to know. It downloads the configuration and you're done.
If you only need lightweight directory guidance scaffolding for AGENTS.md files, use:
omx agents-init .That command is intentionally narrower than full setup: it only bootstraps AGENTS.md files for the target directory and its immediate child directories.
For 2.x Users
Your old commands still work! /ralph, /ultrawork, /plan, etc. all function exactly as before.
But now you don't NEED them - everything is automatic.
Usage Analysis
Analyze your oh-my-codex usage and get tailored recommendations to improve your workflow.
Note: This replaces the former
/learn-about-omcskill.
What It Does
- Reads token tracking from
~/.omx/state/token-tracking.jsonl - Reads session history from
.omx/state/session-history.json - Analyzes agent usage patterns
- Identifies underutilized features
- Recommends configuration changes
Step 1: Gather Data
# Check for token tracking data
TOKEN_FILE="$HOME/.omx/state/token-tracking.jsonl"
SESSION_FILE=".omx/state/session-history.json"
CONFIG_FILE="$HOME/.codex/.omx-config.json"
echo "Analyzing OMX Usage..."
echo ""
# Check what data is available
HAS_TOKENS=false
HAS_SESSIONS=false
HAS_CONFIG=false
if [[ -f "$TOKEN_FILE" ]]; then
HAS_TOKENS=true
TOKEN_COUNT=$(wc -l < "$TOKEN_FILE")
echo "Token records found: $TOKEN_COUNT"
fi
if [[ -f "$SESSION_FILE" ]]; then
HAS_SESSIONS=true
SESSION_COUNT=$(cat "$SESSION_FILE" | jq '.sessions | length' 2>/dev/null || echo "0")
echo "Sessions found: $SESSION_COUNT"
fi
if [[ -f "$CONFIG_FILE" ]]; then
HAS_CONFIG=true
DEFAULT_MODE=$(cat "$CONFIG_FILE" | jq -r '.defaultExecutionMode // "not set"')
echo "Default execution mode: $DEFAULT_MODE"
fiStep 2: Analyze Agent Usage (if token data exists)
if [[ "$HAS_TOKENS" == "true" ]]; then
echo ""
echo "TOP AGENTS BY USAGE:"
cat "$TOKEN_FILE" | jq -r '.agentName // "main"' | sort | uniq -c | sort -rn | head -10
echo ""
echo "MODEL DISTRIBUTION:"
cat "$TOKEN_FILE" | jq -r '.modelName' | sort | uniq -c | sort -rn
fiStep 3: Generate Recommendations
Based on patterns found, output recommendations:
If high Opus usage (>40%) and no ecomode:
- "Consider using ecomode for routine tasks to save tokens"
If no team usage:
- "Try /team for coordinated review workflows"
If no security-reviewer usage:
- "Use security-reviewer after auth/API changes"
If defaultExecutionMode not set:
- "Set defaultExecutionMode in /omx-setup for consistent behavior"
Step 4: Output Report
Format a summary with:
- Token summary (total, by model)
- Top agents used
- Underutilized features
- Personalized recommendations
Example Output
📊 Your OMX Usage Analysis
TOKEN SUMMARY:
- Total records: 1,234
- By Reasoning Effort: high 45%, medium 40%, low 15%
TOP AGENTS:
1. executor (234 uses)
2. architect (89 uses)
3. explore (67 uses)
UNDERUTILIZED FEATURES:
- ecomode: 0 uses (could save ~30% on routine tasks)
- team: 0 uses (great for coordinated workflows)
RECOMMENDATIONS:
1. Set defaultExecutionMode: "ecomode" to save tokens
2. Try /team for PR review workflows
3. Use explore agent before architect to save contextGraceful Degradation
If no data found:
📊 Limited Usage Data Available
No token tracking found. To enable tracking:
1. Ensure ~/.omx/state/ directory exists
2. Run any OMX command to start tracking
Tip: Run /omx-setup to configure OMX properly.Need More Help?
- README: https://github.com/Yeachan-Heo/oh-my-codex
- Issues: https://github.com/Yeachan-Heo/oh-my-codex/issues
Version: 4.2.3
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

