Inject relevant standards into the current context. Resolves project > baseline. Supports auto-suggest and explicit modes.
Install
npx skillscat add weegigs/claude-kitbash/standards-inject Install via the SkillsCat registry.
Standards Inject
Inject relevant standards into the current context, formatted appropriately for the situation.
Usage Modes
Auto-Suggest Mode (no arguments)
/standards-injectAnalyzes context and suggests relevant standards.
Explicit Mode (with arguments)
/standards-inject api # All standards in api/
/standards-inject api/response-format # Single file
/standards-inject api/response-format api/auth # Multiple filesDirectly injects specified standards without suggestions.
Resolution Order
See ../standards/references/resolution-order.md for how standards are resolved (project > baseline) and how to use @baseline references.
Process
Step 1: Detect Context Scenario
Before injecting standards, determine which scenario we're in:
Three scenarios:
- Conversation — Regular chat, implementing code, answering questions
- Creating a Skill — Building a skill file
- Shaping/Planning — In plan mode, building a spec, running
/spec
Detection logic:
- If currently in plan mode OR conversation clearly mentions "spec", "plan", "shape" → Shaping/Planning
- If conversation clearly mentions creating a skill → Creating a Skill
- Otherwise → Ask to confirm
If neither skill nor plan is clearly detected, use AskUserQuestion:
I'll inject the relevant standards. How should I format them?
1. **Conversation** — Read standards into our chat (for implementation work)
2. **Skill** — Output file references to include in a skill you're building
3. **Plan** — Output file references to include in a plan/spec
Which scenario? (1, 2, or 3)Step 2: Read the Index (Auto-Suggest Mode)
Read .agent-os/standards/index.yml to get available standards and their descriptions.
If no standards found:
No standards found. Options:
- Run /standards init to set up baseline from a profile
- Run /standards discover to document project-specific patternsStep 3: Analyze Work Context
Look at the current conversation to understand:
- What type of work? (API, database, UI, etc.)
- What technologies mentioned?
- What's the goal?
Step 4: Match and Suggest
Match index descriptions against the context. Use AskUserQuestion:
Based on your task, these standards may be relevant:
1. **api/response-format** — API response envelope structure, status codes
2. **api/error-handling** — Error codes, exception handling, error responses
3. **global/naming** — File naming, variable naming conventions
Inject these standards? (yes / just 1 and 3 / add: database/migrations / none)Keep suggestions focused — typically 2-5 standards.
Step 5: Inject Based on Scenario
Scenario: Conversation
Read the standards and announce them:
I've read the following standards as they are relevant to what we're working on:
--- Standard: api/response-format ---
[full content of the standard file]
--- End Standard ---
**Key points:**
- All API responses use { success, data, error } envelope
- Error codes follow AUTH_xxx, DB_xxx patternScenario: Creating a Skill
Ask how to include:
How should these standards be included in your skill?
1. **References** — Add @ file paths (keeps skill lightweight, stays in sync)
2. **Copy content** — Paste full content (self-contained)
Which approach? (1 or 2)If References:
Include references to these standards files in your skill:
@.agent-os/standards/api/response-format.md
@.agent-os/standards/api/error-handling.mdIf Copy content:
Output the full content of each standard.
Scenario: Shaping/Planning
Same options as Creating a Skill, but framed for plan inclusion.
Step 6: Surface Related Skills (Conversation only)
Check if related skills exist:
Related Skills you might want to use:
- create-api-endpoint — Scaffolds new API endpoints following these standardsExplicit Mode
When arguments are provided, skip suggestions but still detect scenario.
Parse Arguments
- Folder name —
api→ inject all.mdfiles inapi/(resolved from project then baseline) - Folder/file —
api/response-format→ injectapi/response-format.md(resolved from project then baseline)
Resolution
For each requested path:
- Check
project/{path}.md— use if exists - Check
baseline/{path}.md— use if exists - Not found → report error
Validate
If specified files/folders don't exist:
Standard not found: api/nonexistent
Available standards:
baseline/api/: response-format, error-handling
project/api/: custom-auth
Did you mean one of these?Tips
- Run early — Inject standards at the start of a task, before implementation
- Be specific — If you know which standards apply, use explicit mode
- Project wins — If you've overridden a baseline standard, your version is used
- Use @baseline — Reference baseline content from project overrides to stay in sync