AI Engineering

Aegis Goal Framing creates a thin goal frame before execution when a user sets an Aegis goal or asks for scope, success evidence, or stop conditions. It is used to define boundaries before routing into the next workflow.

Anti-Entropy Governance helps decide when to delete old code paths, collapse duplicate owners, or remove fallbacks safely. It also guards schema, persistence, and source-of-truth changes that need explicit confirmation.

Brainstorming helps turn ambiguous or high-complexity ideas into clearer designs by asking focused questions, comparing approaches, and shaping a spec before implementation. Use it for new features, architecture, contracts, or plan pressure-tests.

Dispatching Parallel Agents delegates unrelated tasks to separate agents with isolated context. Use it when 2+ independent problems can be worked in parallel; otherwise handle them inline or with a planned subagent workflow.

Executing Plans loads a written implementation plan, checks it for fit and risk, and carries it through execution with checkpoints and verification. Use it for multi-step work across sessions or when review gates are needed.

Fable Advisor gets a focused second opinion from Claude Fable 5 without substituting the host tool's model. Use it when you need to check a plan before committing, review after repeated failures, or explicitly invoke fable-advisor.

First Principles Review helps evaluate ambiguous design, debugging, or architecture choices using first-principles and Occam's-razor reasoning. Use it when competing constraints, fallback growth, or ownership confusion could send work down the wrong path.

Long Task Continuation keeps multi-step work checkpointed and resumable across pauses, handoffs, or context resets. Use it when a task spans sessions, uses subagents, or needs drift and evidence tracking.

Subagent-Driven Development uses fresh subagents for each independent plan task, followed by spec and code-quality reviews. Use it when coordinating written implementation plans in the current session; otherwise keep work inline.

Using Aegis checks routing rules at the start of a turn and decides when to load a specific Aegis skill. It is used to stay on the fast path or switch into a skill based on the task.

Agent Strategy Compare evaluates sequential, parallel, workflow, and agent-team execution for a fan-out task. It scores seven signals, shows agent count math and cost guards, and recommends a strategy.

Closeout Packet Generator creates the post-EXECUTE closeout packet for a completed plan or phase. It summarizes readiness, drift, verification, cleanup, and the next valid state.