agentleFS
lza6lza6/claw-code-tingfeng/skills/help/SKILL.md

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

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.
  • lilangMaxSkill

    create-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

  • lilangMaxSkill

    story-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

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
  1. Distinctive:

    ralph includes ultrawork: When you activate ralph mode, it automatically includes ultrawork's parallel execution.

    line 42
  2. Distinctive:

    If you haven't configured OMX yet:

    line 55
  3. Distinctive:

    If you only need lightweight directory guidance scaffolding for AGENTS.md files, use:

    line 63
  4. Distinctive:

    If no data found:

    line 192

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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 taskParallelize and delegate to specialist agents
Ask me to plan somethingStart a planning interview
Need something done completelyPersist until verified complete
Work on UI/frontendActivate 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:

KeywordEffectExample
ralphPersistence mode"ralph: fix all the bugs"
ralplanIterative planning"ralplan this feature"
ulwMax parallelism"ulw refactor the API"
planPlanning 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-setup

This 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-omc skill.

What It Does

  1. Reads token tracking from ~/.omx/state/token-tracking.jsonl
  2. Reads session history from .omx/state/session-history.json
  3. Analyzes agent usage patterns
  4. Identifies underutilized features
  5. 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"
fi

Step 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
fi

Step 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 context

Graceful 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?


Version: 4.2.3

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.