Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

CloudBase PostgreSQL access-pattern and slow-query quality guidance. Use when designing how tables are read and written, eliminating per-row database calls, adding indexes for filters or joins, reviewing high-traffic data access, or explaining a slow SQL query. Not for first-time PG SDK setup, login UI, or NoSQL collections.

Fast path for a minimal CloudBase Web + database demo (最小前后端 / 最小可用 fullstack / Lovable-like BaaS). Defaults to @cloudbase/js-sdk client CRUD (NoSQL app.database / PG app.rdb), MCP-only schema, preview-first, and forbids cloud functions unless secrets, cron/background jobs, or logic that security rules/RLS cannot express. Use for 搭一套 demo、留言板、Todo、Notes、Kanban, or when users say 带云函数+云数据库 but only need CRUD. NOT for production multi-service backends, CloudRun, WeChat Mini Programs, or tasks that truly need server secrets.

Always invoke for `.xaml` or `.cs` workflow files. UiPath RPA — create, edit, validate, build, pack, run, debug `.cs` coded workflows and `.xaml` workflows, Modern or Legacy. UI automation with Object Repository selectors, test case authoring, Integration Service connector calls. Live desktop/browser UI exploration and control. Packing stays here; solution-level `.uipx` deployment→uipath-solution. Non-solution Orchestrator ops→uipath-platform. Test reports→uipath-test. Agents→uipath-agents.

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

Add one bounded feature to an existing app while preserving current behavior. Do not restart the full new-project workflow.

Create project agent instructions and tool configuration from agreed product and technical decisions.

Implement a new-project slice through the relevant checks and working user journey.

Supports multivariate severity assessment and exploratory endpoint-time score forecasting for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-based foRcast forecasting. Use when combining welfare readouts — body weight or weight loss, body temperature, clinical or nesting scores, biomarkers, activity, heart rate, burrowing, wheel running — into one severity score per animal per day, when asking which animals are at risk of reaching a humane endpoint at a specified future observation time, when defining attention/danger zones or thresholds on a severity scale by kernel density estimation, or when reporting severity for a 3Rs, refinement, animal-welfare, or EU Directive 2010/63/EU severity-assessment context. Covers directionality ("turned" variables), baseline normalization, reference sets, RELSA weights, ARIMA prediction intervals, and RMSE/PICP/MPIW evaluation.

This skill should be used when the user asks to notify other session, requests a session handoff, says tell other agent, or needs a cross-session message.

Read when reviewing a plugin PR or auditing an existing plugin script (server/plugins/*/script.py or equivalent). Covers four checks not already mechanically enforced by test_plugin_conventions.py - plugin scripts embedding their own raw SQL instead of an existing/new model method, suspicious/attacker-influenced plugin data not being logged, a new dependency not reaching every build target, and scanPresence correctness for a roster/inventory-style plugin - plus worked real-PR examples.

Read when reviewing a plugin PR or auditing an existing plugin script (server/plugins/*/script.py or equivalent). Covers four checks not already mechanically enforced by test_plugin_conventions.py - plugin scripts embedding their own raw SQL instead of an existing/new model method, suspicious/attacker-influenced plugin data not being logged, a new dependency not reaching every build target, and scanPresence correctness for a roster/inventory-style plugin - plus worked real-PR examples.

Search memories from earlier Claude Code sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.

Search memories from earlier Antigravity sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.

Search memories from earlier Codex sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.

Drive ONE already selected open pull request in microsoft/apm to mergeable. Classifies copilot-pull-request-reviewer[bot] inline review, runs autopilot-pr-review-worker, folds (by default) every recommendation inside the PR's stated scope, pushes to the head branch or a superseding PR that preserves authorship via commit trailers, watches CI to green (`agent-merge` when that skill or `<agent_merge_state>` is present; otherwise `gh pr checks --watch`), and iterates under fixed caps until ready-to-merge, advisory-with-deferred, superseded, or blocked. Plan before any fold, push, or reviewer request. Never spawned by autopilot-pr-review-scheduler. That scheduler is advisory only. Invoke this skill by name when the caller asked to drive a PR to merge.

Use this skill to triage ONE microsoft/apm issue already selected by autopilot-issue-triage-scheduler. Return one advisory recommendation and a proposed scope brief, never human approval. Do not implement the issue, manage the backlog, or list the queue.

Queue open microsoft/apm issues and fan them out through an isolated pool (default 2) of autopilot-issue-triage-worker sessions. Advisory only. Never implements, never assigns, never requests reviewers. Activate on a mixed issue list or queue-all when the job is triage. Works in a local session, Copilot App automation, Cloud Agent, Remote Agent, or Agentic Workflow.

Audit cross-unit consistency for progressive complexity, terminological coherence, and sequential logic across multiple editorial units. Trigger on: auditoria consistencia, cross-unit audit, contradicciones terminologicas, progresion complejidad, coherencia editorial. Detects terminology contradictions, validates Bloom/Marzano progression curves, and classifies inconsistencies by severity. Essential for multi-unit textbook coherence and Gate G3 compliance.

Amplify a human author's draft to Scriba quality standards — add curriculum traceability, DUA adaptations, taxonomic annotations, and style corrections while preserving 100% of original content. Trigger on: amplificar borrador, amplify draft, mejorar borrador, enriquecer draft, version 1, draft humano, author draft, delegar version 1.