gpt6-astra-model-routing
Choose model and effort for GPT work and subagents in any harness, including inside codex-delegate missions. Default to GPT-6 Astra for research, writing,…
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Updated 11-05 00:16
25,663 results
Choose model and effort for GPT work and subagents in any harness, including inside codex-delegate missions. Default to GPT-6 Astra for research, writing,…
Use only when the user explicitly invokes lower-capability-executor-prompt to turn an already researched and approved plan into a bounded prompt for an…
Review an artifact with reviewers whose contexts are separate from the authoring session, by default two from different model families such as Claude Fable and…
Create and configure custom OpenCode agents (primary and subagents) with specialized prompts, tools, permissions, and models. Use when the user wants to…
Analyze human interventions, commands run by agents, and newly added bad patterns across repositories in recent T3 Code threads; identify per repository where humans are acting as message relays, where agents are taking shortcuts or reinventing the wheel, propose improvements, and review the effects of already-adopted improvements. Only propose suggestions; create issues only after the user adopts them. Only invoked proactively by the user.
A comprehensive guide for editing GitBook documentation in external environments like Cursor, Claude Code, or other text editors. This skill provides all the…
Compare two texts for differences and output similarity and word-level diff JSON. Use when an agent needs to quantify the textual gap between an artifact and a target
Runs long-lived delivery as a coordinator with parallel lanes. Sets authority and pacing dials up front, keeps lanes alive and fed, lands work through a…
Resolves how far an agent may take a change, from L0 propose to L5 release. It reads the repo's real GitHub rules (rulesets, branch protection, CODEOWNERS,…
Turns a short intent, often around 20 words, into a brief that can run unattended. The brief has the user's words verbatim, an outcome owner, an observable…
Before iterating on a speedup or quality problem, build the feedback loop first and write it down as a Loop Card that names the outcome, the instrument the…
Turn a correction you keep repeating into a durable fix: mine your corrections, classify them, choose the cheapest layer that would have prevented them…
Run a multi-agent audit of a feature, PR/diff, or task spec in which Codex, Command Code (cmd), Gemini, OpenCode and Claude debate over ACP for a configurable…
Configure and run background agents with reusable profiles for agent engines, model providers and execution backends. Use when delegating background work,…
Help a person explore what matters across life, choose their own focus, update personal context, or find a useful next step. Weekly goals and agent tasks are…
Review an agent conversation with evidence-based coaching on briefs, decisions, verification, and next practice. Use for «разбери эту сессию», «проверь мои…
Autonomous AI-powered pull request reviewer with multi-agent analysis and comprehensive feedback
QA specialist agent for test planning, execution, and regression analysis
Provides guidelines and workflows for launching, managing, and executing workloads on remote Google Colab runtimes using the external google-colab-cli.
Audits, optimizes, and remediates CXAS agent configurations for Gemini Composite V1 voice naturalness, persona styling, and multi-language coverage directly in…
Boilerplate for a production evaluation runner that performs parallel inference, captures reasoning traces via SSE, and integrates with the Vertex AI Gen AI…
Implements the "Defense-in-Depth" integration pattern in Python (intercepting prompts, parsing filter results).
Provides custom Python metrics for configuring Vertex AI Gen AI Evaluation to measure Trajectory Precision, Recall, and Order Match.
Implements the "in-memory only" secret pattern for Google Cloud production agents.