wisdomgraph/mega-code/help

Claude Code and agent skill by wisdomgraph/mega-code

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Show MEGA-Code help — available commands, output locations, skill and strategy structure, and usage tips.

Install

npx vskill@latest install wisdomgraph/mega-code/help

SKILL.md

MEGA-Code Help

Available Commands

CommandDescription
/mega-code:loginSign in via GitHub or Google OAuth
/mega-code:wisdom-genRun skill extraction pipeline
/mega-code:skill-enhanceEnhance a skill (remote server by default; pass --hitl for local human-in-the-loop A/B)
/mega-code:wisdom-curateCurate a wisdom-backed workflow with skill installation
/mega-code:statusShow pending items and status
/mega-code:stopStop a running pipeline
/mega-code:profileView or update your developer profile
/mega-code:helpShow this help

Output Locations

TypePending LocationInstalled Location
Skills~/.local/share/mega-code/data/pending-skills/{name}/.claude/skills/{name}/SKILL.md
Strategies~/.local/share/mega-code/data/pending-strategies/{name}.md.claude/rules/mega-code/{name}.md
Curated Skills—{data_dir}/skills/{name}/SKILL.md
Curations{data_dir}/curations/pending/{session_id}.json{data_dir}/curations/completed/{session_id}.json

Skill Structure

Generated skills follow this structure:

~/.local/share/mega-code/data/pending-skills/{skill-name}/
├── SKILL.md        # Main skill content
├── injection.json  # Auto-trigger rules
├── evidence.json   # Source evidence
└── metadata.json   # Generation info

Strategy Structure

Strategies are modular rules saved as:

markdown
---
paths: **/*.py
---
 
# Strategy Title
 
Clear statement of the preference or convention.

Model Options

The --model flag for /mega-code:wisdom-gen accepts any model alias supported by the LLM module:

AliasProvider
gemini-3-flashGoogle
gpt-5-miniOpenAI

When no model is specified, the server selects the best model based on your configured LLM keys.

Tips

  • Run /mega-code:wisdom-gen after significant coding sessions
  • Run /mega-code:skill-enhance <skill> to enhance a skill via the remote server (requires MEGA_CODE_CLIENT_MODE=remote); add --hitl to use the local human-in-the-loop A/B flow instead
  • Use --project to analyze multiple sessions for stronger patterns
  • Skills with more evidence (from multiple sessions) are higher quality
  • Review and edit skills before installing for best results
  • Run /mega-code:wisdom-curate <task description> to get a curated workflow with relevant skills
  • Curated workflows can be executed immediately or saved for later resumption
  • For plugin updates, use /plugin marketplace update mind-ai-mega-code

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

See the full security report

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

See evaluation results

Source

Popularity

Repository stars
47
Repository forks
3
7-day trend score
19

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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