From agentic-workflow
Surfaces hidden assumptions and unwritten rules by analyzing code patterns vs documented knowledge. Generates prioritized questions across seven categories before planning.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agentic-workflow:axiom-minerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
A frontier-model agent invoking this skill should:
A frontier-model agent invoking this skill should:
heuristics.json — the seven categories of unspoken knowledge and example questions per category.Auto-fires when the task description lacks structural markers (no acceptance criteria, no repro steps, no expected vs actual sections) and is short (< 500 chars). Configured via specialized_agents.axiom_miner.triggers in workflow-config.yaml.
Skip when:
{
"questions": [
{
"priority": "critical|important|nice_to_know",
"category": "data_semantics|lifecycle|history|deployment|business|conventions|integration",
"question": "<the question>",
"best_guess": "<what the code suggests>",
"evidence": "<files/patterns observed>"
}
],
"axioms_confirmed": [
{"statement": "...", "evidence": "..."}
]
}
The full prompt with the seven-category framework lives at agents/axiom-miner.md. This skill descriptor is the contract for invoking it via Claude Code Skills; the data canonical source is heuristics.json.
npx claudepluginhub spiris-innovation-tech-dev/agentic-workflow --plugin agentic-workflowInfers context insufficiency before task execution, collects codebase evidence, classifies uncertainties by dimension, and asks information-gain prioritized questions for informed execution.
Classifies ambiguity types in user requests and generates clarifying questions before acting. Use when requirements are unclear, have multiple interpretations, or lack critical details.
Analyzes ambiguous task requests using 5W1H decomposition to surface assumptions and generate up to 3 targeted clarifying questions before execution.