“reports”的搜索结果

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes - Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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Deep, iterative internet research for current facts, source triangulation, contradiction checks, due diligence, competitive analysis, claim verification, "latest" lookups, and cited reports. Use when the user asks to browse, search, research the web, verify claims, compare sources, gather primary sources, investigate companies, people, products, technical topics, news, events, markets, or create AKBP-ready durable research evidence.

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Reproduce, isolate, and diagnose a specific software failure before changing production behaviour, then propose the smallest safe fix with regression protection. Use whenever the user reports a bug, crash, error, stack trace, flaky test, incorrect output, "works on my machine," intermittent failure, regression after a deploy, or any behaviour that diverges from expectation and the cause is not obvious. Prefer this over jumping straight to a fix. Part of the audit suite; inherits the shared constitution, while its own job is proving causality.

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Use when validating repository Markdown local references and anchors; scheduled-safe YAML-configured reports keep host-aware scans explicit and local-only.

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Diagnose and recover broken Git state and worktree metadata with a staged, low-risk recovery flow. Use when Git reports detached or contradictory HEAD state, phantom worktree locks, orphaned worktree entries, missing refs, 0000000000000000000000000000000000000000 hashes, or branch operations fail with errors like already checked out, unknown revision, not a valid object name, or cannot lock ref.

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Automated GitHub PR code review with diff analysis, lint integration, and structured reports. Use when reviewing pull requests, checking for security issues, error handling gaps, test coverage, or code style problems. Supports Go, Python, and JavaScript/TypeScript. Requires gh CLI authenticated with repo access.

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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

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Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

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Use when the user wants to see what learned instincts exist, their confidence scores and how current they are — reads the local instincts file under ~/.aos/instincts/ and reports it. Read-only.

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Send SMS messages with Azure Communication Services SMS Java SDK. Use when implementing SMS notifications, alerts, OTP delivery, bulk messaging, or delivery reports.

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Document templates for all pipeline output documents — specs, indexes, reports, and strategy docs. Use when any workflow needs to produce a structured document.

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Monitor for API billing errors and alert the owner and admin immediately. Use when: an API billing error is detected, a peer PA reports a billing error, or during routine health checks. Handles detection, notification, and fallback model switching. Model-agnostic: works with any LLM provider (Anthropic, OpenAI, Google, etc.).

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Use when working with Codecov — codecov coverage tracking management. Covers coverage reporting, PR comments, flag management, component analysis, and coverage trend tracking. Use when managing Codecov configuration, analyzing coverage reports, debugging coverage uploads, or configuring coverage thresholds.

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Use when working with Coveralls — coveralls coverage tracking management. Covers coverage reporting, PR status checks, repository configuration, coverage history, and badge management. Use when managing Coveralls coverage reports, configuring coverage thresholds, debugging coverage uploads, or analyzing coverage trends.

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Use when working with Cast Ai — cAST AI Kubernetes cluster optimization and cost management. Covers cluster cost optimization, spot instance management, cost reports, node rebalancing, security posture, and workload right-sizing. Use when optimizing Kubernetes cluster costs, managing node lifecycle, or analyzing cloud spend with CAST AI.

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Use when working with Aws Iam — aWS IAM deep analysis for policy evaluation, role trust relationship review, access advisor data, credential reports, permission boundary inspection, and identity-based vs resource-based policy analysis. Covers IAM users, roles, groups, policies, SCPs, and cross-account access patterns. Read this skill before any IAM operations — it enforces discovery-first patterns and strict read-only safety rules.

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Use when working with Adyen — adyen payment platform management including merchant accounts, payment methods, terminal configuration, risk management, settlement reports, and webhook notifications. Covers authorization rates, payment method performance, fraud scoring, and payout reconciliation.

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Use when working with Apptio — apptio and Cloudability IT financial management and cloud cost optimization. Covers IT cost allocation, cloud cost analysis, benchmarking, budget forecasting, showback/chargeback reports, and technology business management. Use when managing IT financial planning, benchmarking cloud spend, or creating chargeback models.

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Run Tavily's multi-source research workflow for comparisons, market analysis, literature-oriented exploration, or detailed cited reports. Use only when bounded search and extraction are insufficient.

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Expert en QA exploratoire v4 (tests systématiques, chasse aux bugs, preuves, rapports, régression)

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Builds multi-touch pipeline attribution models and generates stakeholder-ready narratives from campaign performance data. Use when analyzing channel contribution to pipeline, preparing monthly/quarterly revenue reports for leadership, diagnosing pipeline misses, modeling budget reallocation scenarios, or translating raw attribution data into board-deck language. Designed for B2B SaaS demand gen teams that report on pipeline and revenue, not leads or MQLs.

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Consolidate the five tdmcp surveyor reports into one prioritized FEATURE_BACKLOG.md — dedupe cross-surface overlaps, reconcile every candidate against the roadmap (NEW vs planned vs extension), rank by a selectable impact×effort weighting profile into P0/P1/P2 (high-confidence first), and emit per-surface tables + a recommended-next shortlist that hands straight to the build pipeline. Use when a td-synthesizer agent is consolidating surveys during the feature-discovery harness.

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Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

中文简介正在准备中。当前显示原文说明。