MR
Mayur Rathi
@sickn33
⭐ 47.3k GitHub stars

artifact-yylo

artifact-yylo is an project-management AI skill with a core value of Capture and retrieve durable YYLO Ledger artifact Records with intentional profiles, payload modes, provenance, retention, and secret-safe immutable evidence. It helps developers solve real-world problems in the project-management domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Capture and retrieve durable YYLO Ledger artifact Records with intentional profiles, payload modes, provenance, retention, and secret-safe immutable evidence.

Last verified on: 2026-10-06

Quick Facts

Category project-management
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 47.3k
Last Verified 2026-10-06
Risk Level Low
mkdir -p ./skills/artifact-yylo && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/artifact-yylo/SKILL.md -o ./skills/artifact-yylo/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Use YYLO artifact Records


Treat Ledger as the source of truth for artifact identity and metadata. Use

`yy ledger` in a YYLO controller or `yylo-ledger` standalone. Inspect

`COMMAND artifact --help`; if unavailable, do not create store files manually.

A Ledger Artifact Record is durable evidence, not an npm/Python release artifact

and not an implicit request to publish or deploy.


Classify before capture


Choose the profile matching the evidence:


- `stdout`: bounded process output;

- `model-output`: an agent/model response;

- `report`: a generated human- or machine-readable result;

- `receipt`: evidence binding an operation and its inputs/outcome.


Choose payload mode deliberately:


- `inline`: small immutable bytes embedded in the Record;

- `local`: immutable content-addressed bytes in Ledger storage;

- `external`: immutable external bytes with URI, digest, and size;

- `link`: URI reference without an immutable-byte guarantee.


Prefer immutable evidence when later verification depends on exact bytes. A link

must never be presented as content-addressed proof.


Create explicitly


Use file/stdin transport and provide the media type:


bash
yy ledger artifact create --title "Focused test report" --profile report \
  --mode local --media-type application/json --file report.json

For external immutable content, provide the supported URI, SHA-256 digest, and

size shown by installed help. Never embed URI credentials. Ledger rejects unsafe

schemes, traversal, size/digest mismatches, oversized capture, and known secret

patterns.


Attach only supported, non-secret provenance such as actor, agent, model,

session, run, invocation, task, or workflow identity. Task/workflow provenance

uses immutable Record IDs. Select `temporary`, `standard`, or `permanent`

retention deliberately; retention metadata does not itself authorize deletion.


Operational-document boundary


Store new PDRs, architecture and migration contracts, plans, reports, receipts,

and execution evidence as Artifact Records. Draft through a fresh external file,

capture it with an intentional profile and immutable payload mode, read it back,

and verify its ID, digest, size, provenance, retention, and history before

removing the draft. Use the `report` profile for human-readable PDRs/contracts

unless installed help provides a more specific approved profile.


Product `docs/` is only for documentation shipped as part of the product. Never

put operational evidence there to manufacture a task product diff. Preserve

legacy `.juno_task/specs` files, but do not create new ones as a fallback. If the

installed artifact API is unavailable, stop with the external draft intact and

request a Ledger upgrade; do not put it in task bodies, responses, product docs,

or manually managed controller paths.


Find and verify


bash
yy ledger artifact search --profile report --projection summary --limit 20 -f json
yy ledger artifact get RECORD_ID -f json
yy ledger artifact history RECORD_ID -f ndjson

Use bounded metadata/summary projections before requesting payload details.

Verify profile, mode, media type, digest, size, provenance, retention, revision,

and immutable ID before relying on evidence.


Artifact payloads are immutable evidence. Represent replacement with explicit

predecessor/successor relationships and the installed revision-safe update

contract; do not overwrite bytes or edit content objects. Archive is a lifecycle

transition, not deletion. Release, publication, external upload, retention

execution, and production mutation always require separate authority.


Complete request


$ARGUMENTS


When to Use


- You need to capture or retrieve durable YYLO Ledger artifact Records (stdout, model-output, report, receipt) with provenance, retention, and immutable payloads.

- New operational PDRs, contracts, plans, reports, and receipts belong here - not in product docs, task bodies, or new `.juno_task/specs` files.


Limitations


- Payloads are immutable: represent r

🎯 Best For

  • Claude users
  • AI users

💡 Use Cases

  • Using artifact-yylo in daily workflow
  • Automating repetitive project-management tasks

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply artifact-yylo to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

How do I install artifact-yylo?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/artifact-yylo/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Not reading the full skill

Skills contain important context and edge cases beyond the quick start.

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