AI Engineering

Use when someone asks what an X2 skill does, which skill to run next, how the gates work, or where an artifact lives. A quick in-flight reference; for the method's rationale, read X2.md at the x2-method repo root.

Guides autonomous implementation of locked software slices, running tests to green with a strict human-turn contract and invariant enforcement.

Diagnoses unknown runtime product misbehavior using structured observation, hypothesis testing, and minimal instrumentation to find root cause efficiently.

Switches the agent to a terse output mode, reducing token usage by ~50-70% while keeping code, commands, and technical terms exact. Use when you need brief replies or want to save costs.

Enforces a hard token budget per task/response by tracking estimates, stopping before limits, and summarizing if exceeded. Helps when users specify a token cap or want to limit spending.

Condense prior conversation turns into a summary, merge near-duplicates, and keep recent messages verbatim to save context tokens without losing task state.

Compacts JSON and other structured data by removing whitespace, collapsing arrays, and shortening keys to reduce token usage in LLM outputs, without breaking parseability.

Condenses long tool outputs, logs, diffs, or documents into concise summaries while preserving key details. Use when you need to save context tokens on bulky payloads.

Automatically trim, summarize, or drop stale content from the context window to save tokens while preserving task state. Use during long sessions, large file dumps, or before calling expensive models.

A structured five-step thinking loop that helps AI agents make better decisions by weighing reversibility, gathering evidence, redesigning bets, attacking their own reasoning, and delivering a clear answer. Fires automatically on high-stakes choices or user indecision.

Synthesizes workflow bundles from accumulated state, generating structured output directories with umbrella skills, sub-skills, manifests, and decision maps for agent skill scanners.

Prepares accountable executive decisions, information triage, briefing, calendar choices, organizational sensing, and institutional memory without assuming authority. Use for chief of staff tasks like gatekeeping, decision memos, executive briefing, and strategic time allocation.