/help

Contextual help for OptimalOS commands and capabilities.

170 stars

Best use case

/help is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Contextual help for OptimalOS commands and capabilities.

Teams using /help should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/help/SKILL.md --create-dirs "https://raw.githubusercontent.com/Miosa-osa/canopy/main/operations/cognitive-os/skills/help/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/help/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How /help Compares

Feature / Agent/helpStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Contextual help for OptimalOS commands and capabilities.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# /help

Contextual help for OptimalOS commands and capabilities.

## What It Does
Shows available skills, agents, and engine commands. Context-aware: suggests
relevant commands based on current cognitive mode and recent activity.

## Usage
```
/help                           # Show all available skills
/help search                    # Detail on /search skill
/help agents                    # List available agents
/help modes                     # Explain cognitive modes
/help genres                    # List available genres
```

## Available Skills
| Skill | Description |
|-------|-------------|
| `/ingest` | Ingest signals into knowledge base |
| `/search` | Hybrid search across all contexts |
| `/assemble` | Build tiered context bundle |
| `/health` | Run system diagnostics |
| `/reweave` | Find stale contexts, suggest updates |
| `/remember` | Capture friction patterns |
| `/verify` | Test L0 fidelity |
| `/graph` | Analyze knowledge graph |
| `/reflect` | Find missing entity relationships |
| `/rethink` | Evidence synthesis |
| `/simulate` | Monte Carlo scenario planning |
| `/setup` | System setup and configuration |
| `/boot` | Daily boot sequence |

## Available Agents
| Agent | Role |
|-------|------|
| knowledge-guide | Genre + routing guidance |
| signal-processor | Full intake pipeline |
| context-assembler | Tiered context loading |
| health-monitor | System diagnostics + maintenance |