Use when configuring or changing a repository's layered review policy, ignored tracked paths, retrieval limits, summary depth, or non-secret task-board metadata.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は hashgraph-online/awesome-codex-plugins から 333 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
hashgraph-online/awesome-codex-plugins収集済み skill 333 件中 40 件を表示しています。
Use when configuring or changing a repository's layered review policy, ignored tracked paths, retrieval limits, summary depth, or non-secret task-board metadata.
原文の言語: 英語
After a task's PR is created, offer to close the task on the configured board and reindex it. Use when the user says a PR is up or asks to close or finish a task.
原文の言語: 英語
Review a GitHub pull request with the RAG + code-graph pipeline (reviewer MCP server). Use when the user asks to review a PR ("review PR 123", "заревьюй PR", a PR URL). Requires ParadeDB/Neo4j running and a built base index.
原文の言語: 英語
Gather disciplined context for solving a task, then hand off to development. Use when the user asks to solve/implement a task ("solve PRI-4", "rag-reviewer:solve-task <key or description>", "реши задачу X"). Reads a keyed task from the reviewer store, pulls…
原文の言語: 英語
Precompute concise per-subsystem summaries (GraphRAG community summaries) over the base code index, so ask / PR-walkthrough get a cheap high-level prior. Use when the user asks to build/refresh subsystem summaries ("просуммируй подсистемы", "построй обзоры…
原文の言語: 英語
Warm the task graph and vector store by synchronizing a configured task board through the reviewer MCP server. Use when the user asks to sync or index board tasks.
原文の言語: 英語
Create and drive plori agents (each an AI agent on its own cloud computer) from any MCP client, the plori CLI, or over REST. Covers authentication (OAuth 2.1 or API key), creating agents, invoking them and reading replies, answering human-in-the-loop…
原文の言語: 英語
Plan, draft, audit, and publish LinkedIn posts and comments. Use when the user wants to write a viral LinkedIn post, draft a comment or reply on any LinkedIn post URL, audit a draft against 2026 algorithm heuristics, remove AI tells, extract hook formulas…
原文の言語: 英語
Draft a new LinkedIn post from scratch using one of 16 2026 hook formulas (anaphora, R.I.P., year-pivot, time-anchor, curiosity-gap, contrarian, emotional cold-open, named-gratitude, and more), picked by engagement goal (comments, reposts, likes, saves). Runs…
原文の言語: 英語
Full Russian text quality check against the whole corpus. Triggers: вычитай, вычитай через ru-text, прогони ru-text, проверь текст по ru-text, ru-check, полная вычитка. Use when the user asks to proofread Russian text, or when a project gate names ru-text.…
原文の言語: 英語
Score Russian text 0.0–10.0 across five dimensions: typography, clean language, grammar, structure, precision for the reader. Triggers: оцени текст, ru-score, оценка качества текста, насколько хорош текст, балл за текст. Use when the user wants a number…
原文の言語: 英語
Russian text quality. Triggers: вычитай, проверь текст, поправь, отредактируй, причеши, ru-text. Also any Russian output. Typography, info-style, editorial, UX writing, business correspondence, AI-text cleanup.
原文の言語: 英語
Install and use GrayMatter as an OpenClaw skill that provides primary durable memory, shared object-graph state, and authenticated access to the live api-docs schema via api-0. Use when the agent should persist durable memory, inspect organizational data…
原文の言語: 英語
Install and use GrayMatter as an OpenClaw skill that provides primary durable memory, shared object-graph state, and authenticated access to the live api-docs schema via api-0. Use when the agent should persist durable memory, inspect organizational data…
原文の言語: 英語
Analyze test files for false-positive smells, meaning tests that pass even when the code breaks. Use when the user asks to review tests for false positives, weak assertions, mock misuse, test smells, or asks whether a test can actually fail. Covers Python…
原文の言語: 英語
Execute one bounded RED to GREEN experiment
原文の言語: 英語
Use Agent Mail as an optional messaging and
原文の言語: 英語
Operate explicit orchestrator, implementer
原文の言語: 英語
Front door for agent automation: choose
原文の言語: 英語
Initialize minimal AgentOps documentation
原文の言語: 英語
Mine past agent sessions for working
原文の言語: 英語
Reconstruct a repository as cited
原文の言語: 英語
Generate and validate repo docs, READMEs
原文の言語: 英語
Load the AgentOps language and
原文の言語: 英語
Write compact caller-authored session
原文の言語: 英語
Generate evidenced opportunities or
原文の言語: 英語
Use NTM as an optional pane adapter for
原文の言語: 英語
Distill repeated, evidence-backed expertise
原文の言語: 英語
Create or refine PRODUCT.md while separating
原文の言語: 英語
Answer a bounded question with current cited
原文の言語: 英語
Reverse-engineer an authorized repo, binary
原文の言語: 英語
Create a metadata-complete AgentOps skill
原文の言語: 英語
Report observable AgentOps evidence without
原文の言語: 英語
Dispatch explicit disjoint packets exactly
原文の言語: 英語
Design A/B and multivariate tests. Use when: sample size calculation, testing hypothesis, CRO experimentation.
原文の言語: 英語
Generate platform-specific ad copy. Use when: Google RSA, Meta, LinkedIn, TikTok ad variations with quality scoring.
原文の言語: 英語
Analyze marketing performance. Use when: KPI frameworks, attribution modeling, anomaly investigation, measurement strategy.
原文の言語: 英語
Research target audiences. Use when: buyer personas, segmentation, Jobs-to-Be-Done, psychographic profiling, audience deep-dive.
原文の言語: 英語
Embed C2PA (Content Authenticity Initiative) provenance manifests in AI-generated marketing assets (image/video/audio/PDF). Use when: preparing AI-generated ad creative, social images, or video for EU markets to comply with EU AI Act Article 50 (applicable 2…
原文の言語: 英語
Orchestrate full campaign lifecycle. Use when: planning, launching, managing, UTM setup, media plan, post-mortem.
原文の言語: 英語