Unsupervised
Official@unsupervisedcom · United States of America
Offers deterministic governance and structural scaffolding for managing multi-step technical job specifications and platform integration lifecycle requirements.
Agent Skills by Unsupervised
Showing 24 vetted skills indexed across 1 GitHub repositories.
Unsupervisedcommanual_tests.infinite_block_tests
Run four infinite-block tests in strict order with sub-agents.
Unsupervisedcomdeepwork_rules.define
Create deterministic file-change governance rules with YAML frontmatter.
Unsupervisedcomcommit
Automate code review, tests, linting, and commit-and-push workflows.
Unsupervisedcomdeepwork_jobs.define
Create DeepWork job.yml specifications through interactive workflow requirement questions.
Unsupervisedcomcommit.lint
Format and lint Python code with ruff after tests pass.
Unsupervisedcomcommit.commit_and_push
Commit and push validated code changes after lint passes.
Unsupervisedcomdeepwork_jobs.learn
Extract learnings from DeepWork job conversations and update instruction files.
Unsupervisedcomadd_platform
Generate adapters, templates, and tests for new AI platforms in DeepWork.
Unsupervisedcomcommit.test
Pull latest code and run the project's test suite until all tests pass.
Unsupervisedcomadd_platform.verify
Verify end-to-end installation and integration of a new AI platform in DeepWork.
Unsupervisedcomupdate
Updates Deepwork standard jobs and syncs them via install command.
Unsupervisedcomcommit.review
Review changed files for quality issues, DRY violations, naming clarity, and missing tests.
Unsupervisedcommanual_tests
Automates DeepWork hook and rule tests across isolated sub-agents with enforced constraints.
Unsupervisedcommanual_tests.run_not_fire_tests
Run six manual safety tests in parallel Haiku sub-agents to verify no rules fire.
Unsupervisedcomadd_platform.implement
Scaffold platform adapters, templates, tests, and documentation for DeepWork integrations.
Unsupervisedcommanual_tests.run_fire_tests
Execute six DeepWork 'should fire' tests in serial sub-agents with resets.
Unsupervisedcommanual_tests.reset
Resets manual test environment by reverting Git changes and clearing stale data.
Unsupervisedcomadd_platform.add_capabilities
Update DeepWork job schema and adapters for new platform hooks.
Unsupervisedcomdeepwork_rules
Create Markdown file-change rules under .deepwork/rules/ for AI session governance.
Unsupervisedcomdeepwork_jobs.implement
Generate step instruction files and sync slash commands from job.yml.
Unsupervisedcomadd_platform.research
Generate CLI configuration and hooks system documentation for platform onboarding.
Unsupervisedcomdeepwork_jobs.review_job_spec
Validate DeepWork job.yml files against doc-spec quality criteria.
Unsupervisedcomupdate.job
Update Deepwork standard job sources and propagate changes via deepwork install.
Unsupervisedcomdeepwork_jobs
Design, validate, and implement multi-step DeepWork AI workflows from job.yml specifications.
Frequently Asked Questions About Unsupervised
FAQPage SchemaWhat specific tasks are enabled by these technical capabilities?▼
These capabilities enable the definition of deterministic file-change governance, the generation of platform-specific adapters and templates, and the validation of job specifications. Users can perform rigorous quality reviews, linting, and multi-step instruction synchronization to ensure project consistency and adherence to defined standards.
Which personas benefit from these technical specifications?▼
Platform engineers, integration specialists, and technical leads benefit from these capabilities. The system is designed for developers who require strict governance over file changes, standardized onboarding for new platforms, and a structured approach to managing complex, multi-step project requirements.
What are the prerequisites for implementing these job specifications?▼
Implementation requires a project structure supporting YAML-based job specifications and the presence of a .deepwork directory for rule governance. Users must ensure their environment supports Git-based version control to facilitate the reset, commit, and validation cycles required for maintaining project integrity.