MTHDS
Official@mthds-ai
Executable AI methods
Agent Skills by MTHDS
Showing 16 vetted skills indexed across 2 GitHub repositories.
mthds-aimthds-upgrade
Upgrade MTHDS CLI tools with environment checks and forced update validation.
mthds-aimthds-runner-setup
Configure inference backends and API keys for MTHDS methods.
mthds-airelease
Automate plugin releases by running checks, bumping versions, and opening pull requests.
mthds-aibump-mthds-version
Update minimum mthds-agent versions in SKILL.md files and a shared guide.
mthds-aimthds-explain
Analyze MTHDS method bundles and generate step-by-step execution narratives.
mthds-aimthds-inputs
Generates input data for MTHDS method bundles from schema and user-defined strategies.
mthds-aimthds-install
Install MTHDS method packages from GitHub repositories or local directories.
mthds-aipipelex-setup
Guides users through configuring Pipelex inference backends and API keys.
mthds-aimthds-build
Build AI methods into validated `.mthds` bundles using the MTHDS standard.
mthds-aimthds-share
Generate social media share URLs for MTHDS methods from GitHub or local directories.
mthds-aimthds-check
Validate MTHDS bundles for syntax, schema, and semantic correctness using the mthds-agent CLI.
mthds-aimthds-run
Execute MTHDS method bundles and interpret their JSON output.
mthds-aimthds-edit
Edit pipes, prompts, concepts, and steps in MTHDS .mthds files.
mthds-aimthds-pkg
Manage MTHDS packages by initializing manifests, configuring exports, and validating METHODS.toml files.
mthds-aimthds-publish
Publish MTHDS method packages to the mthds.sh hub from GitHub repositories or local directories.
mthds-aimthds-fix
Automatically fix validation errors and TOML formatting in MTHDS method bundles using the mthds-agent CLI.
Frequently Asked Questions About MTHDS
FAQPage SchemaWhat specific tasks can be performed using MTHDS?▼
MTHDS enables the creation, validation, and execution of method bundles. Users can initialize manifests, configure exports, validate syntax against schemas, fix formatting errors in TOML files, and publish packages to the hub. It also supports generating input data and interpreting JSON outputs from executed bundles.
Which personas benefit most from these capabilities?▼
Software engineers and developers building modular logic bundles benefit from these capabilities. It is designed for those managing complex method lifecycles, requiring strict schema validation, versioning control, and standardized deployment paths for their executable logic across distributed environments.
What are the prerequisites for running MTHDS bundles?▼
Execution requires a configured environment with valid inference backends and necessary keys. Users must initialize their project with a METHODS.toml manifest and ensure their bundles pass semantic validation checks before attempting execution or publication to the hub.