Skip to content
Development
Skill

/dataset-retire

Plan and delegate safe dataset retirement, tombstoning, derived-artifact cleanup, and reconciliation.

BOOST
@jmaglyjmagly@jmagly
From plugin
aiwg
229200 skills199 agents26 commands

Claude Code

$ npx -y skills add jmagly/aiwg --skill dataset-retire --agent claude-code

SKILL.md

dataset-retire.SKILL.md
namespace: aiwg
name: dataset-retire
description: Plan and delegate safe dataset retirement, tombstoning, derived-artifact cleanup, and reconciliation.
version: 1.0.0
platforms: [all]
aliases: [remove dataset, decommission index, dataset cleanup]
triggers: [retire this dataset, remove this index safely, delete derived dataset artifacts, reconcile dataset deletion, decommission this source]

Dataset Retirement

First encode the retirement operation and complete enumeration in a governed plan input, then use `aiwg dataset plan --file <plan-input.json> --json`. Require complete bounded enumeration of affected canonical and derived artifacts, retention/legal-hold checks, tombstones by default, rollback limits, and a reviewed bulk threshold. Dataset Policy Reviewer approval must match the exact plan digest.

Delegate only through `aiwg dataset ingest` with the exact retirement plan digest, idempotency key, approval IDs, preview digest, and threshold. Never delete directly. Preserve canonical material unless explicitly and separately authorized. Finish with `aiwg dataset verify <run-ref> --json` and a reconciliation/evidence handoff.

Read it on GitHub ↗
Stats
TypeScriptNodeDockerKubernetesAWSGCPAzureGitGitHubMarkdownAnthropicMCP
229
Stars
36
Forks
Active
Maintenance
TypeScript
Language
MIT
License
Last commit
Created

Repo: jmagly/aiwg

In this plugin
200 skills199 agents26 commands
See everything inside
@jmagly
Ships withaiwg

Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.

229200 skills199 agents
Get the whole plugin

Stars on GitHub

Momentum

stars in total
229
Star history of jmagly/aiwg on GitHub, a chart by star-history.com
See what's trending this week

Other skills on aiwg.

agent-loop-ext

agent-loop-ext

Crash-resilient external agent loop with state persistence and CI/CD integration

aiwg
@jmagly@jmaglyInstall Skill
agent-loop

agent-loop

Detect requests for iterative autonomous agent loops and route to the appropriate loop executor

aiwg
@jmagly@jmaglyInstall Skill
auto-test-execution

auto-test-execution

Automatically execute tests when code-generating agents modify source files, enforcing the execute-before-return pattern

aiwg
@jmagly@jmaglyInstall Skill
See all 200 skills in aiwg

More skills from other plugins.

brainstorming
Auto-invoked

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…

superpowers13d311k
@obra@obraInstall Skill
ask-matt

ask-matt

Ask which skill or flow fits your situation. A router over the skills in this repo.

skills12d309k
@mattpocock@mattpocockInstall Skill
accessibility
Auto-invoked

accessibility

Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels,…

ecc13d293k
@affaan-m@affaan-mInstall Skill
compiler-commit

compiler-commit

Use when you want to verify compiler changes and commit with the correct convention. Runs tests, lint, and format, then commits…

react2d252k
@facebook@facebookInstall Skill

Questions about dataset-retire.

Which coding agents can use dataset-retire?
dataset-retire installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.