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parkerscobey

Hizal Search

by Parker · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ pending
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Install in OpenClaw
/install hizal-search
Description
Retrieve existing context before building anything. Self-triggering — fires whenever the agent is about to search the codebase, recall prior decisions, look...
README (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.

How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install hizal-search
  3. After installation, invoke the skill by name or use /hizal-search
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug hizal-search
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Hizal Search?

Retrieve existing context before building anything. Self-triggering — fires whenever the agent is about to search the codebase, recall prior decisions, look... It is an AI Agent Skill for Claude Code / OpenClaw, with 53 downloads so far.

How do I install Hizal Search?

Run "/install hizal-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Hizal Search free?

Yes, Hizal Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Hizal Search support?

Hizal Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Hizal Search?

It is built and maintained by Parker (@parkerscobey); the current version is v0.1.0.

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