xoai
Review Skills published by xoai, their source repositories, maintenance signals, and identity status.
- Skills
- 13
- Repository stars
- 26
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Creator
- Canonical name
- xoai
- Public sources
- 1
- License context
- MIT
Source entries
Agent Skills from xoai
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
xoai/sage
auto-qa
Use after implementation passes the quality gates, when a change needs an independent pass over the code before it ships, or when the user asks to "QA this", "check the implementation", or "verify it matches the spec". Applies to Standard and Comprehensive scopes with the Task tool available; Lightweight tasks skip.
xoai/sage
autonomous
When --autonomous is active, skip user-facing elicitation rounds. The agent makes elicitation decisions from memory, codebase patterns, constitution principles, and prior cycle context. Every decision cites its source. Substantive decisions with no signal fall back to asking the user.
xoai/sage
build-loop
Drives task-by-task execution from an approved plan with quality gates between each task. Reads the plan, finds the next incomplete task, dispatches implementation, validates, updates progress, and continues. Use after a plan is approved and the user says "go", "start building", "execute the plan", or "implement the feature".
xoai/sage
fix
Root cause diagnosis with evidence, Reproducing test, Minimal patch
xoai/sage
plan
Creates implementation plans from specifications by breaking work into small tasks (2-5 min each) with exact file paths, tests, and dependency ordering. Use after a spec is approved and before implementation begins, or when the user says "create a plan", "break this down", "how should we build this", or "task breakdown".
xoai/sage
quality-locked
When --quality-locked is active, loop review/revise at each Quality Gate until findings reach a clean bar (no Critical, no Major, only cosmetic Minor) or the iteration cap (10) is reached. Uses a deterministic Python checker for classification and decision logic; agent runs the actual review and revision steps.
xoai/sage
quality-review
Use as the code-quality gate after spec-compliance and constitution checks pass, or when the user says "review my code", "quality check", "security review", or "is this code good". Runs as an independent sub-agent when the Task tool is available.
xoai/sage
quick-elicit
Guided specification through 4 focused question rounds in ~3 minutes. Round 0 challenges problem framing before solutioning. Produces framing, intent, boundaries, and acceptance criteria. Use when the user wants to add a feature, build something new, implement functionality, create a component, or says "add", "build", "create", "implement". Do not use when a detailed spec already exists.
xoai/sage
sage-fix
Root cause diagnosis with evidence, Reproducing test, Minimal patch
xoai/sage
sage-navigator
Activates when the user starts any substantial task: building, creating, redesigning, analyzing, researching, planning, fixing, improving, evaluating, writing, auditing — code, products, content, or strategy. Also activates when the user asks what to do next, says "continue," seems uncertain where to start, or begins a new session. This is Sage's intelligent process navigator.
xoai/sage
sage-self-learning
Detects mistakes, stores prevention rules, promotes them across scope — the 'experience' layer for any AI agent that recurringly hits the same bugs, miscommunications, or wrong-tool choices across sessions. Use when: (1) a command or operation fails unexpectedly, (2) the user corrects the agent, (3) the agent discovers non-obvious behavior through debugging, (4) an API or tool behaves differently than expected, (5) a better approach is found for a recurring task. Also searches past learnings bef
xoai/sage
specify
Structures elicitation output into a formal specification defining WHAT to build and WHY. Use after quick-elicit or deep-elicit completes, or when the user provides requirements and says "write a spec", "define requirements", "create a PRD", or "specify this feature".
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Repository context
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