Review software architecture, including package cohesion and inter-package coupling

Analyze the source code for problems in either the logic and semantics and its related control flow, performance and efficiency, or security.

Dissect the current Git change set, treated as an epic, domain-wise and logically into cohesive parts and materialize each part in its own dedicated Git WorkTree. Use when the user calls to "dissect", "split", "break up", or "decompose" a large change set into atomic, separately committable parts.

Edit Source Code: Use when the user wants to "edit" the code base in one shot from a query or a bare analyzer issue id like "P1", fusing crafting, refactoring, and resolving with optional grilling, verification, looping, and Git worktree isolation.

Refactor Code: Use when user wants to "refactor" or "change" the code base.

Resolve Problem: Use when user wants to "bugfix" or "fix" code or "resolve" a problem.

Distill a provided document into a flat, importance-ranked list of its key points, each with a salience rank, a rationale, and a verbatim line-cited evidence snippet. Use when the user wants to "distill", "summarize the key points", or "extract the essence" of a document or pasted text.

Refine the sentence structure and style of the documents: shorten long sentences, replace cumbersome nominal constructions with verbs, make enumerations parallel, strike filler words and redundancy, fix awkward transitions, and adjust voice, while content, numbers, and technical terms stay exactly as they are. Use when the user wants to "refine", "tighten", or "polish" the wording of a document.

Shorten a document toward a target length, given as either `--chars <N>` or `--words <N>`: first tighten the sentences, then drop low-value content, then compress the remaining content into shorter expressions -- each stage entered only while the target is still not met. Use when the user wants to "shorten", "cut down", or "reduce the length of" a document.

Match a free-text intent against the accumulated help of all ASE skills, generate the single best-fitting `/ase:ase-xxx-xxx` command with concrete options and arguments, and let the user execute it, refine the intent, or cancel. Use when the user knows what they want but not which skill or flags realize it, or mentions "intent" or requests "help".

Show the manual page of an ASE skill, addressed by its full name, by any abbreviation of it, or by a description of its purpose, and list the entire skill catalog when no name is given. Use when the user wants the "manual", "man page", "manpage", or "help" of a particular ASE skill, or asks what a certain `ase-xxx-xxx` skill does.

Query foreign LLM for chat. Use this skill if a foreign LLM like OpenAI ChatGPT, Google Gemini, DeepSeek or xAI Grok should be queried with a single chat message.

Self-test the LLM's ability to execute ASE's core interpreter machinery (control flow, XML placeholders, regex matching, arithmetic) and report an overall compatibility rating. Use when the user wants to check how well the current model/harness is compatible with ASE, or asks to "test ASE compatibility" or "check ASE compatibility".

List, get, set, or delete the layered ASE configuration values across the user/project/task/session scope chain. Use when the user wants to "configure" ASE, or to inspect or change a configuration key like `agent.persona`, `agent.guidance`, `agent.task`, or `project.boxing`.

Summarize the currently staged Git changes as a human-readable, intent-grouped narrative. Use when the user wants a concise and brief report of what changed and why. Optionally can check the diff for intent coherence and show a risk and blast radius report.

Evaluate alternatives through a weighted multi-criteria decision matrix. Use when the user calls for the *evaluation* of *alternatives*, wants to *compare* things, or asks what the best is from a list of choices.

Determine the conceptual proximity of a topic -- its parent topic, its most relevant sibling topics, and its most relevant child topics -- optionally grounded in Internet/Web facts and optionally navigable in an interactive loop. Use when the user wants to explore the conceptual neighborhood of a topic, or mentions "proximity" or "related topics".

Query multiple foreign AIs in parallel and synthesize a consensus ("quorum") answer with a consensus rating. Use when the user wants a quorum, a consensus answer, or the opinions of multiple AIs on a question.

Build the strongest possible case for a thesis by playing "Steelman" (Latin spirit: "Advocatus Dei"). Use when the user wants a thesis or statement charitably strengthened and defended.

Five-Whys Root-Cause Analysis.