Edit MTHDS bundles
Modify existing MTHDS method bundles.
Mode Selection
How mode is determined
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Explicit override: If the user states a preference, always honor it:
- Automatic signals: "just do it", "go ahead", "automatic", "quick", "don't ask"
- Interactive signals: "walk me through", "help me", "guide me", "step by step", "let me decide"
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Skill default: Each skill defines its own default based on the nature of the task.
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Request analysis: If no explicit signal and no strong skill default, assess the request:
- Detailed, specific requirements → automatic
- Brief, ambiguous, or subjective → interactive
Mode behavior
Automatic mode:
- State assumptions briefly before proceeding
- Make reasonable decisions at each step
- Present the result when done
- Pause only if a critical ambiguity could lead to wasted work
Interactive mode:
- Ask clarifying questions at the start
- Present options at decision points
- Confirm before proceeding at checkpoints
- Allow the user to steer direction
Mode switching
- If in automatic mode and the user asks a question or gives feedback → switch to interactive for the current phase
- If in interactive mode and the user says "looks good, go ahead" or similar → switch to automatic for remaining phases
Default: Automatic for clear, specific changes. Interactive for ambiguous or multi-step modifications.
Detection heuristics:
- "Rename X to Y" → automatic
- "Update the prompt in pipe Z" with new text provided → automatic
- "Add a step to do X" (open-ended) → interactive
- "Refactor this pipeline" (subjective) → interactive
- Multiple changes requested at once → interactive (confirm the plan)
Process
Step 0 — CLI Check (mandatory, do this FIRST)
Run mthds-agent --version. The minimum required version is 0.1.2 (declared in this skill's front matter as min_mthds_version).
- If the command is not found: STOP. Do not proceed. Tell the user:
The
mthds-agentCLI is required but not installed. Install it with:npm install -g mthdsThen re-run this skill.
- If the version is below 0.1.2: STOP. Do not proceed. Tell the user:
This skill requires
mthds-agentversion 0.1.2 or higher (found X.Y.Z). Upgrade with:npm install -g mthds@latestThen re-run this skill.
- If the version is 0.1.2 or higher: proceed to the next step.
Do not write .mthds files manually, do not scan for existing methods, do not do any other work. The CLI is required for validation, formatting, and execution — without it the output will be broken.
No backend setup needed: This skill works without configuring inference backends or API keys. You can start building/validating methods right away. Backend configuration is only needed to run methods with live inference — use
/pipelex-setupwhen you're ready.
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Read the existing .mthds file — Understand current structure before making changes
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Understand requested changes:
- What pipes need to be added, removed, or modified?
- What concepts need to change?
- Does the method structure need refactoring?
Interactive checkpoint: Present a summary of planned changes. Ask "Does this plan look right?" before proceeding to step 3.
Automatic: Proceed directly to step 3. State planned changes in one line.
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Apply changes:
- Maintain proper pipe ordering (controllers before sub-pipes)
- Keep TOML formatting consistent
- Preserve cross-references between pipes
- Keep inputs on a single line
- Maintain POSIX standard (empty line at end, no trailing whitespace)
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Validate after editing: If you suspect TOML syntax issues after editing, run
mthds-agent plxt lint <file>.mthdsfor a quick check before the heavier semantic validation. Then validate:mthds-agent pipelex validate bundle <file>.mthds -L <bundle-dir>/If errors, see Error Handling Reference for recovery strategies by error domain. Use /mthds-fix skill for automatic error resolution.
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Regenerate inputs if needed:
- If inputs changed, run
mthds-agent pipelex inputs bundle <file>.mthds -L <bundle-dir>/ - Update existing inputs.json if present
- If inputs changed, run
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Present completion:
- If inputs were regenerated (step 5 triggered), show the path to the updated file.
- Provide a concrete CLI example. If
inputs.jsoncontains placeholder values, suggest the safe dry-run command first:To try the updated method now, use /mthds-run or from the terminal:
mthds run bundle <bundle-dir>/ --dry-run --mock-inputsTo run with real data, use /mthds-inputs to prepare your inputs (provide your own files, or generate synthetic test data), then:
mthds run bundle <bundle-dir>/
Common Edit Operations
- Add a pipe: Define concept if needed, add pipe in correct order
- Modify a prompt: Update prompt text, check variable references
- Change inputs/outputs: Update type, regenerate inputs
- Add batch processing: Add
batch_over(plural list name) andbatch_as(singular item name) to step — they must be different - Refactor to sequence: Wrap multiple pipes in PipeSequence
Reference
- Error Handling — read when CLI returns an error to determine recovery
- MTHDS Agent Guide — read for CLI command syntax or output format details
- MTHDS Language Reference — read when writing or modifying .mthds TOML syntax
- Native Content Types — read when using
$var.fieldin prompts orfromin construct blocks, to know which attributes each native concept exposes - Talents & Presets — read when setting or changing talent fields in a pipe. Use talent names (left column, e.g.,
creative-writer), not preset names (right column, e.g.,$writing-creative)