OPAL AI Agent Skills Collection (Skills.md Compliant)
개요
These are standard SKILL.md folders and ZIP bundles that can be loaded into an AI agent environment that supports Skills. The enablement process is as follows: 1. Ask the host environment to load the skills bundle ZIP (or folder) from its URL (file: for local reference) or local path. 2. To install the plugin, place the plugin directory in the .agents/plugins directory of your AI agent environment. Activate it by adding its metadata to the marketplace.json file in the same directory. 2. Test the skill using the usage example documented in the SKILL.md file. 3. Add it to a workflow schedule if the skill needs to run in automated form on a daily, weekly, or monthly basis. Ask your AI agent environment to load each skill from its ZIP or directory path: The agent-rdf-memory/ directory is the canonical behavioral contract. Execute this retrieval sequence : 1. List agent-rdf-memory/ and subfolders (sessions/, projects/, entities/) 2. Read core.ttl (user identity, output paths) 3.
README
Using These Skills
These are standard SKILL.md folders and ZIP bundles that can be loaded into an AI agent environment that supports Skills. The enablement process is as follows:
-
Ask the host environment to load the skills bundle ZIP (or folder) from its URL (
file:for local reference) or local path. -
To install the plugin, place the plugin directory in the
.agents/pluginsdirectory of your AI agent environment. Activate it by adding its metadata to themarketplace.jsonfile in the same directory. -
Test the skill using the usage example documented in the
SKILL.mdfile. -
Add it to a workflow schedule if the skill needs to run in automated form on a daily, weekly, or monthly basis.
Quick Start
1. Load Skills
Ask your AI agent environment to load each skill from its ZIP or directory path:
file:///path/to/ai-agent-skills/.zip
file:///path/to/ai-agent-skills//
2. Agent Memory Setup
The agent-rdf-memory/ directory is the canonical behavioral contract.
Execute this retrieval sequence before any task:
- List
agent-rdf-memory/and subfolders (sessions/,projects/,entities/) - Read
core.ttl(user identity, output paths) - Read
preferences.ttl(operational rules) - Read
preferences.private.ttlif present (private overlay) - Read
ontology.ttl(prompt-intent routing) - Read
index.ttl(session pointers) - Follow
rdfs:seeAlsoreferences to relevanthowto/*.ttl - Reason over loaded Turtle content
- Write session memory on trigger events (see
ontology.ttl#MemoryWriteTrigger)
3. Agent Identity Resolution
At session start, resolve:
- Agent environment:
{AGENT_ENV_NAME}(e.g.,claude_code,opencode) - LLM model:
{LLM_MODEL}from the system prompt - Output path: from
core.ttloutput path entries
These feed artifact routing and whoami responses.
4. Claude Code Hook (Optional)
For automatic memory injection, set up the SessionStart hook per
agent-rdf-memory/SESSION-START-HOOK.md. This reads memory files before
the first user turn.
5. Verify
Run whoami to confirm identity resolution and output path routing are correct.
추천 도구
다른 키워드를 입력하거나 필터를 제거해 보세요.
설치
npx skillfish add openlinksoftware/ai-agent-skills