AShareTrace
Understand the evidence, sources, risks, and missing data behind a China A-share question without trading instructions.
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THE AGENSI STORE
2079 skills found
Understand the evidence, sources, risks, and missing data behind a China A-share question without trading instructions.
Reconcile track order, ISRCs, contributors, splits, territories, flags, and asset references before delivery.
Block unsupported resume claims, invented metrics, and unattributed first-person founder statements.
Reconcile deletion-request evidence across systems, subprocessors, retention exceptions, and backup replay before human review.
MCP tool connector for fetching and caching Strava fitness activity data.
Turn redacted n8n, Zapier, Make, webhook, API, or script incident observations into a first-hour evidence register and safe client/engineer handoff before repair or retry decisions.
Validate Spanish phone numbers and identify carriers via local MCP tool.
Automate expense receipt classification, VAT verification, and forwarding via MCP.
Turn a weighted hiring rubric and redacted CV text into a locator-backed evidence matrix, unresolved-evidence flags, and mandatory human-review queue.
Structured diagnostic agent that manages technical troubleshooting workflows, avoids step repetition, and builds escalations.
Make a subagent complete the bounded assignment, preserve shared state, and refuse unsolicited expansion or external authority.
Make an agent give the essential fact, immediate next action, and principal risk before any optional detail.
Make an agent herd wandering work into explicit outcomes, owners, dependencies, boundaries, and the next executable move.
Converts complex contracts into structured registers with deadlines, owners, service levels, and renewal logic.
Make an agent notice missing sources, weak attribution, unsupported certainty, and information disorder while correcting calmly.
Make an agent selective, concise, observant, calm, and precise about boundaries without cat puns or fake animal roleplay.
Flag avoidable oversharing, self-congratulation, forced intimacy, disclosure, and exaggerated claims without punishing sincerity or harmless awkwardness.
Separate observed mutuality and curiosity from inconsistency, intensity, projection, and insufficient evidence without compatibility scores or diagnosis.
Separate possible indirect hostility from brevity, formality, conflict avoidance, cultural variation, and ordinary frustration without declaring intent.
Return the single best-supported detail that deserves one more question, with benign and concerning explanations.
Scan supplied context for overlooked vulnerable people, practical needs, overload, exclusion, and preventable harm without gender stereotypes.
Map who may be affected, how consequences may spread, and which safer alternatives reduce permanence, exposure, or coercion.
Check whether a proposed message or action fits the audience, timing, privacy, power dynamics, and recent context.
Classify a consequential people-facing action as suitable for automation, revision, delay, human review, human delivery, or no automation.