/geo-strategy

name: geo-strategy
description: Build an offline GEO optimization plan from explicit goals, diagnosis actions, approved evidence IDs, and a measured baseline. Use for GEO strategy, roadmap, experiment planning, intervention candidates, 策略, 路线图, and 优化实验. Exclude autonomous publication, fabricated outcome evidence, and memory promotion without positive external measurement.

GEO Strategy

Workflow

1. Read `references/strategy-method.md` and prepare the complete file-backed request. 2. Run `python3 scripts/run_strategy.py --input <request.json> --output <runs-root>`. 3. Review all candidates and the fidelity report; choose an offline-approved candidate. 4. Hand `publication-handoff.json` to an authorized publisher and wait for a verified publication receipt. 5. Measure the unchanged query panel after the declared window. Promote memory only when fidelity passed and the weighted metric delta is positive.

Output contract

Produce the input snapshot, bounded candidates, fidelity report, experiment plan, publication handoff, strategy memory, quality report, lineage, and manifest. Read `references/output-contract.md` before approval.

Boundaries

Execution stays offline. The Skill never publishes, logs in, claims external impact, or promotes an unmeasured intervention. External publication and observation stay marked `missing evidence` until verified artifacts arrive.