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Spin up a live local Omnigent server + runner and exercise the native Pi TUI harness (pi-native) end-to-end — launch the real `pi` CLI via `omnigent pi`, drive turns through the web/bridge, smoke-test, and bug-bash. Load when developing, testing, or debugging the pi-native harness (omnigent/inner/pi_native_executor.py, pi_native_harness.py, omnigent/pi_native.py, pi_native_bridge.py, pi_native_credentials.py) or its bridge / extension / auth / model behavior.

日本語の概要は準備中です。原文の説明を表示しています。

Check the full candidate diff, affected consumers, focused tests, evidence identities, and verification gaps.

日本語の概要は準備中です。原文の説明を表示しています。

Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix.

日本語の概要は準備中です。原文の説明を表示しています。

Spin up a live local Omnigent server and exercise the Antigravity (Gemini) SDK harness end-to-end — build antigravity agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the antigravity harness (omnigent/inner/antigravity_executor.py, antigravity_harness.py, omnigent/onboarding/antigravity_auth.py) or its auth / model / tool-bridge behavior.

日本語の概要は準備中です。原文の説明を表示しています。

Review an existing fix PR using the audited repro and full diff, preserving branch and approval rules.

日本語の概要は準備中です。原文の説明を表示しています。

Delegate read-only investigation, debugging, audit, search, or code-understanding tasks to sub-agents; synthesize only from their structured reports.

日本語の概要は準備中です。原文の説明を表示しています。

Audit a recovered repro patch, assertions, and behavioral baseline before authoring or reviewing.

日本語の概要は準備中です。原文の説明を表示しています。

Spin up a live local Omnigent server and exercise the Cursor SDK harness end-to-end — build cursor agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the cursor harness (omnigent/inner/cursor_executor.py, cursor_harness.py, cursor_auth.py) or its auth / model / tool-bridge behavior.

日本語の概要は準備中です。原文の説明を表示しています。

Run the Omnigent load test and produce a results file explaining the latencies. Load when the user wants to load-test / stress-test / benchmark Omnigent under concurrency ("load test omnigent", "stress test the server", "how many hosts/sessions/turns can it handle", "load test real agent turns / conversations", "run a load test"). The test makes each simulated user a real omnigent host that creates host-bound sessions and drives real multi-turn conversations with a mocked LLM; it boots its own local stack (dev/loadtest/run.py). Gather inputs, run it, then read the generated summary.md and explain the latency distribution (avg/median/p95/p99, throughput, failures). NOT for single-request latency micro-benchmarks (that is dev/benchmarks/).

日本語の概要は準備中です。原文の説明を表示しています。

Spin up a live local Omnigent server and exercise the GitHub Copilot SDK harness end-to-end — build copilot agents, run real turns, smoke-test, and bug-bash. Load when developing, testing, or debugging the copilot harness (omnigent/inner/copilot_executor.py, copilot_harness.py, omnigent/onboarding/copilot_auth.py) or its auth / model / tool-bridge behavior.

日本語の概要は準備中です。原文の説明を表示しています。

End-to-end test the polly multi-agent coding orchestrator's critical user journeys (CUJs). Two halves — a deterministic mock-LLM driver (polly_cuj.py) that boots a throwaway local server + mock LLM and asserts the substrate (boot, bridged sys_* tool dispatch, the blast_radius / spawn_bounds / headless_subagent_purpose_guard guardrails, fan-out delegation), and a live real-CLI recipe (real claude/codex/pi, real worktrees/PRs) for polly's actual judgment. Load when developing, testing, or debugging examples/polly — its config.yaml, the claude_code/codex/pi sub-agents, the investigate/fanout/cross-review skills, or the omnigent.inner.nessie.policies guardrails — or reproducing a polly orchestration bug.

日本語の概要は準備中です。原文の説明を表示しています。

Spin up a live local Omnigent server + runner and exercise the native Antigravity (agy) TUI harness (antigravity-native) end-to-end — launch the real `agy` CLI via `omnigent antigravity`, drive turns through the web UI, smoke-test, and bug-bash. Load when developing, testing, or debugging the antigravity-native harness (omnigent/inner/antigravity_native_executor.py, omnigent/antigravity_native.py, antigravity_native_bridge.py, antigravity_native_rpc.py, antigravity_native_reader.py, antigravity_native_launch.py) or its agy launch / RPC mirror / tmux delivery / OAuth / MCP-relay behavior. NOT the in-process `antigravity` Gemini SDK harness.

日本語の概要は準備中です。原文の説明を表示しています。

Example skill demonstrating Anthropic SKILL.md format. Load when learning to create skills or testing the OpenSkills loader.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when creating a Java SDK surface-area E2E integration test backed by a replay proxy YAML snapshot

日本語の概要は準備中です。原文の説明を表示しています。

Retroactively audit and fill Nyquist validation gaps for a completed phase

日本語の概要は準備中です。原文の説明を表示しています。

Generate tests for a completed phase based on UAT criteria and implementation

日本語の概要は準備中です。原文の説明を表示しています。

Cross-phase audit of all outstanding UAT and verification items

日本語の概要は準備中です。原文の説明を表示しています。

Autonomous audit-to-fix pipeline — find issues, classify, fix, test, commit

日本語の概要は準備中です。原文の説明を表示しています。

project lifecycle | milestones audits summary

日本語の概要は準備中です。原文の説明を表示しています。

Audit an executed AI phase's evaluation coverage and produce an EVAL-REVIEW.md remediation plan.

日本語の概要は準備中です。原文の説明を表示しています。

quality gates | code review debug audit security eval ui

日本語の概要は準備中です。原文の説明を表示しています。

Audit milestone completion against original intent before archiving

日本語の概要は準備中です。原文の説明を表示しています。

Create and edit draw.io/diagrams.net diagrams as editable `.drawio` files. Covers architecture, UML/ERD/sequence, BPMN, network, and swimlane views authored from a description or converted from code, IaC, SQL, and API schemas, plus sync, query, test, review, export, and publish of existing diagrams. Use when the user asks for draw.io/diagrams.net or an editable diagram; prefer Mermaid/PlantUML when diagrams-as-code is enough.

日本語の概要は準備中です。原文の説明を表示しています。

Use git heatmap analysis to identify high-churn files and lines as candidates for thorough review or bug hunting. Works for PR reviews, security audits, bug hunts, or any code analysis task.

日本語の概要は準備中です。原文の説明を表示しています。