Agentlas Packaging

SkillAI & models

Once added, your AI can take an existing local or external agent or team and convert, repair, or package it to fit the Agentlas architecture. The result can be set up for local install, Agentlas import, use with Codex, use with a Claude adapter, or an open-source release.

Available today. Use it from your connected AI after setup.

After adding the skill, point your AI to the local or external agent or team you want to change and say which outcome you need, such as local install, Agentlas import, use with Codex, use with a Claude adapter, or an open-source release. Your AI will then convert, repair, or package it to match.

Then ask your AI: use the Agentlas Packaging skill

What your AI can do with it

  • Convert an existing local or external agent or team to the Agentlas architecture
  • Repair an agent or team so it fits the Agentlas architecture
  • Package an agent or team for local install
  • Prepare an agent or team for Agentlas import
  • Get an agent or team ready for use with Codex or a Claude adapter
  • Package an agent or team for an open-source release

What this skill tells your AI

The instructions your AI receives, as published by agentlas-ai/agentlas-os in skills/agentlas-packaging/SKILL.md and read by ahel’s review.

Procedure

  1. Inspect the existing source: prompt, repo, ZIP, runtime folder, skill, command, or generated agent package.
  2. Classify it as single-agent, team-builder, or mixed/unclear.
  3. Run contracts/builder-interview-research-gate.md when the source behavior, target user, tools/plugins, output artifacts, or evaluation bar are unclear. Packaging must not turn a shallow prompt into a polished but weak package. When the gate runs, research official sources, similar agent repositories or comparables, academic/professional theory, and plugin docs before changing the source behavior.
  4. Preserve useful behavior while adding Agentlas contracts:
    • AGENTS.md;
    • docs/builder-interview.md;
    • docs/research-sources.md;
    • docs/tool-selection.md;
    • docs/domain-expert-synthesis.md;
    • docs/prompt-performance-contract.md;
    • .agentlas/capability-eval-plan.json;
    • .agentlas/agent-card.json;
    • .agentlas/company-blueprint.json;
    • .agentlas/mode-map.json;
    • .agentlas/memory-map.json;
    • .agentlas/memory-tickets.jsonl;
    • .agentlas/vault-references.json;
    • .agentlas/global-commands.json;
    • runtime adapters;
    • verification scripts.
  5. Author the workforce résumé block on the routing card (workforce on .agentlas/agent-card.json / the marketplace routing card). The hub Workforce search matches on exactly these fields; a card without them is invisible to every WorkOrder that uses them, and card lint blocks routing_ready without the block. Use the versioned ontology graph contract (agentlas_cloud/workforce/ontology_v1.json, awo:2026-07-15.2) for seed aliases and relation semantics, never as an allowlist:
    • roles: 0-4 open role:* professional-responsibility ids;
    • communities: 1-5 open community:* professional-domain ids;
    • skills: 3-12 open skill:* verb-object capability ids;
    • knowledge: open knowledge:* domain/method ids backed by the package;
    • modalities: optional non-text input/output metadata;
    • languages: optional genuine delivery languages, never listing locales. New well-formed semantic IDs are valid graph concepts and must not be rejected merely because the seed snapshot has not seen them before.
  6. Add or repair the global command across Claude Code, Codex, Gemini CLI, generic AGENTS.md tools, and terminal adapters.
  7. Remove secrets, raw logs, private local notes, and unsafe public paths.
  8. Run scripts/verify-team-package.sh <package-root> after repair. If it fails, correct the package shape before any final handoff.
  9. Run package verification and public-safety checks before release.

Output

Return classification, repaired_files, agentlas_contracts_added, runtime_adapters, global_commands, verification, and blockers.

Signals

GitHub stars
1k
Forks
103
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
agentlas-packaging
Source
github.com/agentlas-ai/agentlas-os