geo-strategy
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.
Resources
6Install
npx skillscat add yaojingang/geohub/geo-strategy Install via the SkillsCat registry.
GEO Strategy
Workflow
- Read
references/strategy-method.mdand prepare the complete file-backed request. - Run
python3 scripts/run_strategy.py --input <request.json> --output <runs-root>. - Review all candidates and the fidelity report; choose an offline-approved candidate.
- Hand
publication-handoff.jsonto an authorized publisher and wait for a verified publication receipt. - 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.
Categories
Install
npx skillscat add yaojingang/geohub/geo-strategy Install via the SkillsCat registry.