executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
instruction_formattingRender FLAN-style instruction examples with direct, exemplar, and chain-of-thought formatting controls.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this skill when building FLAN-style instruction-finetuning data, recovery fixtures, or tests that need prompt-target records. Do not use it to evaluate model outputs or to compose the full task mixture; it only formats individual examples.
instruction, input, answer, mode, optional rationale, and optional exemplars.mode must be direct or cot.prompt: user-visible instruction prompt.target: supervised target text.metadata: mode, exemplar count, and chain-of-thought flag.Final answer: ....Run python tests/test_instruction_formatter.py or validate the tree with validate_skill_tree.py --run-tests.
This skill does not choose task sampling weights and does not call a language model. It preserves the paper's formatting contract for downstream mixture, training, and proxy-evaluation modules.