원클릭으로 Manus에서 모든 스킬 실행

query

스타2

포크0

업데이트2026년 7월 8일 08:32

Use when retrieving from a project knowledge-base/ — multi-channel RAG recall (vector plus lexical plus metadata, RRF-fused) returning locate-pointer cards; multi-round and multi-angle querying allowed. Trigger /ragkit:query, or called by name by workflows like specode. Building or refreshing the index instead uses ragkit:embed.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

Manus에서 실행

출처

qxbyte

qxbyte/pluginhub

GitHub 저장소 열기 Creator 저장소 보기

다운로드

Manus에서 실행

RagKit Query

对项目 knowledge-base/ 做多路召回（向量+词汇+元数据，RRF 融合），返回定位卡片。

执行

脚本在本插件的 scripts/ 目录（本 skill 目录的上两级）；用本 skill 的 base directory 把下面的相对路径拼成绝对路径执行。

sh ../../scripts/run.sh ../../scripts/ragkit.py \
   query '<检索词>' --kb <项目根>/knowledge-base

检索词由你根据用户问题/需求自行提炼：优先用页面名、字段名、接口路径、功能域词。
允许多轮、多角度：一轮不够就换角度再查（按页面查 / 按字段查 / 按调用链查），直到定位充分或确认无相关知识。
需要程序化消费时加 --json；--top N 调数量。

结果使用纪律（硬约束）

卡片是定位指针，非事实来源——命中后用「路径」Read 原文，再跳到真实代码验证；禁止仅凭卡片摘要下结论。
tag/词面命中 ≠ 语义相关：逐条判断该知识点的改动类型/语义是否真适用，不适用就丢弃。
独立 RAG 用法（用户直接提问系统历史逻辑）：召回 → Read 命中文档 → 综合整理回答，并注明来源文档路径。

降级与错误（stderr 信号，固定文案）

无可用向量后端：结果仍有效（词汇+元数据路）；stderr 会带一个 ╭─ RagKit ─╮ 提示块，原样转述给用户（不改写、不省略）。
索引不存在：提示用户先跑 /ragkit:embed。
model_mismatch / index_stale：提示用户重跑 /ragkit:embed（必要时 --rebuild）。

이 저장소의 다른 Skills

같은 저장소

execute

qxbyte/pluginhub

Use when running a spec's execution tail — presents the 执行方式 selector, dispatches the chosen engine (task-swarm / superpowers / specode-native TDD), then runs acceptance and the distill prompt. Trigger /specode:execute <slug> manually at any time once tasks.md exists, or invoked by name (specode:execute) via the Skill tool by the spec / continue skills.

2026-07-092

intake

qxbyte/pluginhub

Use when running specode's requirements phase — project analysis + code location + clarification, then writing requirements.md. Produces <specsRoot>/<slug>/requirements.md (with the project_root frontmatter contract) plus the location pointers handed to the design phase. Invoked by name (specode:intake) via the Skill tool by the specode orchestration SKILL; not a user-triggered command.

2026-07-092

spec

qxbyte/pluginhub

Use when creating a new spec-driven workflow — the /specode:spec entry that walks requirements → design → tasks → 执行方式 → execute → acceptance, autonomously calling superpowers skills for the heavy lifting with a first-class specode-native fallback, and filing 4 fixed artifacts (requirements.md / design.md / tasks.md / implementation-log.md) under the user document directory. Trigger /specode:spec <request>, or 进入 spec 模式 with a new requirement.

2026-07-092

continue

qxbyte/pluginhub

Use when resuming an existing spec by slug — the /specode:continue entry that reads the fixed docs, reports a progress brief (inferred phase + checkbox progress), then stops and waits for the user; it never auto-resumes. Trigger /specode:continue <slug>.

2026-07-092

distill

qxbyte/pluginhub

Use when distilling a finished specode spec into atomic, locate-oriented markdown knowledge points — writes cases/ + navigation/ + MEMORY.md into the project's own <project_root>/knowledge-base/ (md-only, no auto-injection), optionally copied to an Obsidian vault. Trigger ONLY /specode:distill <slug>, never auto-run by the main specode flow.

2026-07-092

list

qxbyte/pluginhub

Use when listing all specs under the specs root — the /specode:list entry that shows every spec slug with its inferred phase, for looking up slugs or an overview; it does not resume. Trigger /specode:list.

2026-07-092

name	query
description	Use when retrieving from a project knowledge-base/ — multi-channel RAG recall (vector plus lexical plus metadata, RRF-fused) returning locate-pointer cards; multi-round and multi-angle querying allowed. Trigger /ragkit:query, or called by name by workflows like specode. Building or refreshing the index instead uses ragkit:embed.

RagKit Query

对项目 knowledge-base/ 做多路召回（向量+词汇+元数据，RRF 融合），返回定位卡片。

执行

脚本在本插件的 scripts/ 目录（本 skill 目录的上两级）；用本 skill 的 base directory 把下面的相对路径拼成绝对路径执行。

sh ../../scripts/run.sh ../../scripts/ragkit.py \
   query '<检索词>' --kb <项目根>/knowledge-base

检索词由你根据用户问题/需求自行提炼：优先用页面名、字段名、接口路径、功能域词。
允许多轮、多角度：一轮不够就换角度再查（按页面查 / 按字段查 / 按调用链查），直到定位充分或确认无相关知识。
需要程序化消费时加 --json；--top N 调数量。

结果使用纪律（硬约束）

卡片是定位指针，非事实来源——命中后用「路径」Read 原文，再跳到真实代码验证；禁止仅凭卡片摘要下结论。
tag/词面命中 ≠ 语义相关：逐条判断该知识点的改动类型/语义是否真适用，不适用就丢弃。
独立 RAG 用法（用户直接提问系统历史逻辑）：召回 → Read 命中文档 → 综合整理回答，并注明来源文档路径。

降级与错误（stderr 信号，固定文案）

无可用向量后端：结果仍有效（词汇+元数据路）；stderr 会带一个 ╭─ RagKit ─╮ 提示块，原样转述给用户（不改写、不省略）。
索引不存在：提示用户先跑 /ragkit:embed。
model_mismatch / index_stale：提示用户重跑 /ragkit:embed（必要时 --rebuild）。