"store", "save", "upload"?
write_artifact + create_artifact_version
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Agent infrastructurePublic skills
Artifact Lifecycle
Governed artifact management — versioned storage, provenance tracking, integrity verification, derivation chains, and export packaging for build outputs and documents.
What this skill teaches
A reusable playbook for a specific kind of work.
An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.
Manage governed artifacts — store versioned artifacts, track provenance, derive new artifacts, link related items, redact sensitive content, and export packages. Use when storing build outputs, versioning artifacts, checking provenance, linking related artifacts, or exporting for distribution.
Architecture
How Artifact Lifecycle guides an ADK-Rust agent.
The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.
01
User request
The agent receives a goal expressed in ordinary language.
02
Artifact Lifecycle skill
Matches intent, supplies the decision guide, and narrows the tool boundary.
03
ADK-Rust agent
Plans the workflow and streams each meaningful step through the runtime.
04
mcp-artifact-store
Executes authenticated operations against the system that owns the capability.
05
Verified result
The skill's completion rules shape the evidence returned to the user.
Decision guide
How the agent turns a request into the right action.
These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.
"find", "list", "what artifacts"?
list_artifacts / list_folders
"read", "download", "get"?
read_artifact
"version", "history"?
get_artifact_metadata
"derive", "transform", "from"?
derive_artifact + link_artifacts
"redact", "remove sensitive"?
redact_artifact
"export", "package"?
export_artifact_package
Proven workflows
Repeatable sequences for useful outcomes.
A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.
012 calls
Store
Write + create version with provenance
021 calls
Verify
SHA-256 integrity check
032 calls
Derive
Transform + link to source
041 calls
Export
Package for distribution
Tool boundary
The skill may use 10 documented tools.
This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-artifact-store retains responsibility for authentication, validation, and the connected system.
list_folders
list_artifacts
get_artifact_metadata
read_artifact
write_artifact
create_artifact_version
redact_artifact
derive_artifact
link_artifacts
export_artifact_package
Working rules
What the agent should do.
- Always create new versions (never overwrite)
- Track provenance (source, creator, pipeline)
- Link derived artifacts to their sources
- Redact sensitive content before sharing externally
Operating boundaries
What the agent should avoid.
- Never overwrite existing artifact versions
- Don't store without provenance metadata
- Don't export without checking for sensitive content
Install and connect
Add the skill beside the capability it expects.
Install the repository where your ADK-Rust skill loader can discover it, connect mcp-artifact-store, and confirm the declared tools are available before asking the agent to use the workflow.
Install the skill
git clone https://github.com/zavora-ai/skill-artifact-lifecycle.git \
~/.skills/skills/artifact-lifecycleADK-Rust loading shape
let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("artifact-lifecycle").await?;
let agent = LlmAgentBuilder::new("agent")
.instruction(skill.instructions())
.tools(skill.allowed_tools(toolset)?)
.build()?;The repository's compatibility statement: Requires mcp-artifact-store server connected.
Official documentation
Read the complete skill package.
The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.
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Source record
Repository metadata for this skill entry.
- License
- Apache-2.0
- Allowed tools
- 10
- References
- 3
- Revision
- 414d29517e97
- Updated
- May 31, 2026