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BAMA: Build Any Mac App. Agent skills to research, clone, design, build, optimize, and test native macOS apps with Swift and SwiftUI.
OPAL AI Agent Skills Collection (Skills.md Compliant)
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SkillsHTML · PythonGitHub @OpenLinkSoftwareSelf-installOwner unconfirmed
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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.Read the full README ↗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/plugins directory of your AI agent environment. Activate it by adding its metadata to the marketplace.json file in the same directory.
Test the skill using the usage example documented in the SKILL.md file.
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:
file:///path/to/ai-agent-skills/<skill-name>.zip
file:///path/to/ai-agent-skills/<skill-name>/
The agent-rdf-memory/ directory is the canonical behavioral contract.
Execute this retrieval sequence before any task:
agent-rdf-memory/ and subfolders (sessions/, projects/, entities/)core.ttl (user identity, output paths)preferences.ttl (operational rules)preferences.private.ttl if present (private overlay)ontology.ttl (prompt-intent routing)index.ttl (session pointers)rdfs:seeAlso references to relevant howto/*.ttlontology.ttl#MemoryWriteTrigger)At session start, resolve:
{AGENT_ENV_NAME} (e.g., claude_code, opencode){LLM_MODEL} from the system promptcore.ttl output path entriesThese feed artifact routing and whoami responses.
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.
Run whoami to confirm identity resolution and output path routing are correct.