One-click install
npx skills add https://github.com/swingerman/disciplined-agentic-engineering --skill prime-context
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prime-context
Source: https://github.com/swingerman/disciplined-agentic-engineering/tree/main/engineer/skills/prime-context
Command: npx skills add https://github.com/swingerman/disciplined-agentic-engineering --skill prime-context

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It solves the problem of losing track of a feature’s existing charter, decisions, and related code pointers when an agent starts work on a Ready feature it hasn’t touched in the current session.

Core Features & Use Cases

  • Silent working-memory batch loading: Loads feature.md, CHARTER.md, manifest.yml, and prior handoffs (especially *-discuss.md) plus code/design pointers without narrating intermediate artifacts.
  • Fast orientation and alignment: Summarizes the feature’s outcome, scope, autonomy level (including charter cap), and key prior decisions and ADRs to re-synchronize the agent.
  • Single-step verification interview: Asks exactly one question—anything else to load—then stops, producing no artifact.
  • Session-aware prep between phases: Intended as a prep step between feature-init and discover-acs for features the agent has not worked yet.

Quick Start

Run the prompt: "Prime context for feature X so you can load the feature, charter, manifest, and prior handoffs and then ask one question about anything else to load."

Frequently Asked Questions about prime-context

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reload feature context and prior handoffs for Claude Code before coding?▼

You reload feature context by running a prime-context prompt that resolves the feature folder via dae_resolve.py, then batch-loads feature.md, CHARTER.md, manifest.yml, and prior handoffs to restore working memory for the agent.

What is the best way to prepare an agent workflow for a Ready feature it has not touched this session?▼

Preparing an agent workflow requires priming the agent between feature-init and discover-acs phases, batch-loading the feature charter and prior decisions, asking one verification question, and emitting a handoff summary with no artifacts.

How does silent context loading work for spec-driven engineering features?▼

Silent context loading batch-reads feature.md, CHARTER.md, manifest.yml, and prior discuss handoffs with code pointers without narrating intermediate artifacts, providing an orientation summary to re-synchronize the agent with the feature scope.

When do I need to prime an agent with feature context in an ATDD pipeline?▼

You need to prime an agent when starting work on a Ready feature it has not handled in the current session, specifically as a prep step between feature-init and discover-acs phases in the pipeline.

Does prime-context batch-load code and design pointers along with the feature charter?▼

Yes, prime-context batch-loads specified files including feature.md, CHARTER.md, manifest.yml, prior handoffs, and related code and design pointers to provide a complete orientation summary for the agent.

What happens if the feature.md folder or file is missing during context loading?▼

If the feature.md folder or file is missing, the context loading process rejects the operation after resolving the methodology root and manifest via dae_resolve.py, preventing the agent from proceeding without a valid feature charter.