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parkerscobey

Hizal Write

by Parker · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ pending
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Install in OpenClaw
/install hizal-write
Description
Persist what the agent learns as it builds. Self-triggering — fires whenever the agent makes a decision, discovers a pattern, learns a convention, hits a got...
README (SKILL.md)

Hizal Write

Write as you build. Not optional.

Available Write Tools

What you're writing Tool Scope
Personal observation or lesson learned hizal__write_memory AGENT
Architecture or design decision hizal__write_knowledge PROJECT
Convention this codebase follows hizal__write_convention PROJECT (auto-inject)
Agent identity or personality hizal__write_identity AGENT (auto-inject)
Org-wide knowledge hizal__write_org_knowledge ORG
Principle (requires human promotion) hizal__store_principle ORG
Custom chunk type hizal__write_chunk varies

Do not use hizal__write_context — it's deprecated. Use the purpose-built tools above.

Custom Chunk Types via write_chunk

For chunk types not covered by the built-in tools, use hizal__write_chunk. Chunk types are customizable per org — always discover what's available before assuming a type doesn't exist.

Discover Available Types

hizal__list_chunks()  # inspect chunk_type values in results

Or check the project's AGENTS.md for the org's type conventions.

Usage

hizal__write_chunk(
  type="\x3Cchunk-type-slug>",
  query_key="\x3Cunique-key>",
  title="\x3Cshort title>",
  content="\x3Cfull content>",
  scope="PROJECT",  # or AGENT, ORG
  project_id="\x3Cid>",  # required for PROJECT scope
  org_id="\x3Cid>",  # required for ORG scope
  agent_id="\x3Cid>"  # required for AGENT scope
)

write_chunk accepts the same common fields as all other write tools (query_key, title, content, gotchas, related, source_file, inject_audience, etc.). It also accepts custom_fields for type-specific metadata.

When to Use write_chunk vs Built-in Tools

  • Built-in tools — use whenever the content maps cleanly to MEMORY, KNOWLEDGE, CONVENTION, IDENTITY, ORG_KNOWLEDGE, or PRINCIPLE
  • write_chunk — use for any custom org type (e.g., SPEC, RUNBOOK, ADR, INVESTIGATION)
  • When in doubt, check what chunk types the org has defined and pick the closest match

Write One Chunk Per Decision

Don't batch everything into one chunk at the end. Write as you go:

  • Made an architecture decision? → write_knowledge now
  • Learned a codebase convention? → write_convention now
  • Discovered something useful personally? → write_memory now
  • Found a custom type that fits better? → write_chunk now

Common Fields

All write tools accept:

  • query_key — unique key for this topic (enables exact lookup later)
  • title — short descriptive title
  • content — the full context content
  • source_file / source_lines — where this came from
  • gotchas — list of warnings or pitfalls
  • related — list of related query_keys
  • inject_audience — DNF targeting spec for auto-injection (omit for defaults)

Example

hizal__write_knowledge(
  project_id="\x3Cid>",
  query_key="nuvei-webhook-signing",
  title="DMN Webhook Signature Verification",
  content="All DMN payloads are verified using SHA-256 HMAC. The checksum is computed from sorted key-value pairs + merchant secret. See package internal/checksum for implementation.",
  related=["nuvei-payload-structure", "merchant-credentials"],
  gotchas=["Never use /payment for credential verification"]
)

Promote AGENT → PROJECT

If a personal memory chunk is broadly useful for the team, promote it:

  1. Read the chunk with hizal__read_context
  2. Write it back as write_knowledge or write_convention with the content
  3. Optionally delete the original AGENT chunk with hizal__delete_context
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install hizal-write
  3. After installation, invoke the skill by name or use /hizal-write
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of hizal-write — a skill for persisting agent learnings as they happen. - Self-triggering: fires whenever an agent learns, discovers, or decides something worth saving. - Provides dedicated write tools for personal memory, project knowledge, conventions, identity, org-wide knowledge, and principles. - Supports custom chunk types via a flexible `write_chunk` interface. - Strong guidance: write one chunk per decision, as you work, not just at the end. - Includes detailed usage examples and field documentation. - Deprecates the old `hizal__write_context` in favor of specialized tools.
Metadata
Slug hizal-write
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Hizal Write?

Persist what the agent learns as it builds. Self-triggering — fires whenever the agent makes a decision, discovers a pattern, learns a convention, hits a got... It is an AI Agent Skill for Claude Code / OpenClaw, with 54 downloads so far.

How do I install Hizal Write?

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

Is Hizal Write free?

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

Which platforms does Hizal Write support?

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

Who created Hizal Write?

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

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