← 返回 Skills 市场
parkerscobey

Hizal Search

作者 Parker · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ pending
53
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install hizal-search
功能描述
Retrieve existing context before building anything. Self-triggering — fires whenever the agent is about to search the codebase, recall prior decisions, look...
使用说明 (SKILL.md)

Hizal Search

Search before you build. Don't rediscover what the team already decided.

Semantic Search

Start with 2-3 broad searches using different phrasings:

hizal__search_context(query="\x3Ckey concept from the task>")
hizal__search_context(query="\x3Cticket id or feature name>")
hizal__search_context(query="\x3Crelated subsystem or endpoint>")

Narrow by Scope

# Project-specific knowledge and conventions
hizal__search_context(query="\x3Cconcept>", scope="PROJECT", project_id="\x3Cid>")

# Prior agent memory / investigation notes
hizal__search_context(query="\x3Cconcept>", scope="AGENT", chunk_type="MEMORY")

# Org-wide principles and standards
hizal__search_context(query="\x3Cconcept>", scope="ORG")

Filter by Chunk Type

hizal__search_context(query="\x3Cconcept>", chunk_type="KNOWLEDGE")
hizal__search_context(query="\x3Cconcept>", chunk_type="CONVENTION")
hizal__search_context(query="\x3Cconcept>", chunk_type="MEMORY")

Exact Lookup by query_key

When you know the exact key:

hizal__read_context(query_key="\x3Cexact-query-key>", project_id="\x3Cid>")

Read a Specific Chunk

hizal__read_context(id="\x3Cchunk-uuid>")

Synthesize Related Context

Pull related chunks for synthesis (read-only, never delete source chunks):

hizal__compact_context(query="\x3Cconcept>")
hizal__compact_context(query="\x3Cconcept>", scope="PROJECT", project_id="\x3Cid>")

Version History

Inspect how a chunk evolved:

hizal__get_context_versions(id="\x3Cchunk-uuid>")

Search Strategy

  1. Broad first — 2-3 searches with different phrasings
  2. Read the results — chunks contain architecture decisions, conventions, and prior work
  3. Narrow by scope if broad search returns too much noise
  4. Use query_key if you already know the key
  5. If an AGENT memory chunk is broadly useful — promote it with write_knowledge or write_convention

See hizal-write skill for writing back to Hizal.

如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install hizal-search
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /hizal-search 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
- Initial release of hizal-search. - Skill triggers automatically whenever context retrieval is needed, before starting new work. - Supports semantic search, scope filtering, chunk type filtering, query_key lookups, compaction, and version history inspection. - Designed to prevent duplicate work by surfacing prior decisions, conventions, and relevant knowledge from Hizal. - Covers a broad range of use cases, including searching via feature name, ticket ID, subsystem, or agent memory.
元数据
Slug hizal-search
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Hizal Search 是什么?

Retrieve existing context before building anything. Self-triggering — fires whenever the agent is about to search the codebase, recall prior decisions, look... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 53 次。

如何安装 Hizal Search?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install hizal-search」即可一键安装,无需额外配置。

Hizal Search 是免费的吗?

是的,Hizal Search 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Hizal Search 支持哪些平台?

Hizal Search 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Hizal Search?

由 Parker(@parkerscobey)开发并维护,当前版本 v0.1.0。

💬 留言讨论