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Claude Skills by johnqtcg

github.com/johnqtcg

61 skillsA× 56B× 4F× 10 installs126 views

Stock Industry ReviewAReview a US-listed company's industry position and competitive moat for an equity-research workup. Covers Porter Five Forces scan, market-share trend (absolute and relative to industry growth), TAM size and trajectory, unit economics where disclosed (LTV/CAC, unit gross margin), moat classification (network / brand / scale-cost / switching-cost / patent / regulatory / proprietary-data), substitute threats, new-entrant threats, pricing-power evidence, supplier/channel concentration risk, and r...ai-agentspythonbashVotes: 0GitHub stars: 30
Stock Management ReviewAReview a US-listed company's management quality and capital-allocation track record for an equity-research workup. Covers 5-year capital-allocation history (buybacks vs dividends vs M&A vs capex vs debt), buyback timing, M&A return-on-investment, guidance-vs-actuals track record, comp-structure alignment, insider ownership and trading activity, earnings-call communication style, and strategic-thesis stability. Trigger when analyzing the human-judgment layer (L5 of the seven-layer X-ray) — the...ai-agentspythonrustVotes: 0GitHub stars: 30
Stock Peer Comparison ReviewAIndependently benchmark a US-listed target equity against 2-4 closest peers on a fixed 12-item ratio panel — growth rates, profitability, capital intensity, balance sheet leverage, capital returns, and valuation multiples. Provides cross-validation for moat and market-share claims made by the business and industry reviewers. Trigger when running a Standard-or-deeper stock-analysis-lead workup, and at Lite depth when a peer set exists and the question is valuation- or moat-shaped; supplies the...ai-agentspythongoVotes: 0GitHub stars: 30
Systematic DebuggingAUse when debugging, diagnosing, or investigating any bug, test failure, flaky test, race condition, unexpected behavior, build failure, production incident, third-party breakage, root cause analysis, or performance regression before proposing fixesai-agentspythonrustVotes: 0GitHub stars: 30
Tdd WorkflowAEnforce practical Test-Driven Development for code changes in Go services. Use for new features, bug fixes, refactors, API changes, and new modules. Requires Red-Green-Refactor evidence, defect-hypothesis-driven tests, killer cases, and coverage gates (line + risk-path).ai-agentsgobashVotes: 0GitHub stars: 30
Tech Doc WriterAWrite, review, and improve technical documents (技术文档, 设计文档, 操作手册, 故障报告, API文档). Use when users ask to write/draft/review/improve a technical document, create an RFC/ADR, write a runbook or operation guide, produce API docs, or create any structured technical writing deliverable. Audience-aware, evidence-based, with quality gates, a mechanical linter, and staleness detection (age against review cadence, not merely a date field). Supports concept docs, task docs, reference docs, troubleshooting...ai-agentspythongoVotes: 0GitHub stars: 30
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Thirdparty Api Integration TestACreate and run gated Go integration tests for third-party APIs with real external calls, strict configuration gates, bounded timeouts, and safe runtime controls. Use for vendor/client contract verification and failure triage.ai-agentspythongoVotes: 0GitHub stars: 30
Unit TestAUse when the user asks for unit tests (e.g, "单元测试", "unit test"), wants to add/fix Go tests, wants table-driven and subtest organization, or wants to enforce a minimum coverage gate (default 80% for logic packages). Prioritize bug discovery (especially boundary, mapping loss, and concurrency defects) over test volume. Do NOT use for benchmarks, fuzz tests, integration tests, E2E tests, load tests, or mock generation.ai-agentsgobashVotes: 0GitHub stars: 30
Update DocAKeep repository documentation synchronized with the latest code. Use when updating README/docs/codemaps after code changes, running docs-drift checks, or producing scoped evidence-backed doc patches for service/library/CLI/monorepo projects.ai-agentsgoshellVotes: 0GitHub stars: 30
Writing PlansACreate implementation plans for multi-step tasks. Use when you have a spec, requirements, or feature request that needs decomposition into concrete steps before implementation. Covers feature, bugfix, refactor, migration, API change, and docs-only plans. NOT for single-file edits, trivial fixes, or tasks completable in under 5 minutes.ai-agentsgobashVotes: 0GitHub stars: 30
Yt Dlp DownloaderAGenerate and run yt-dlp download commands with probe-driven format selection, safe output naming, retry defaults, and structured execution reports. Use when users want to download videos, extract audio, fetch playlists, grab subtitles, handle authenticated/age-gated content, or download live streams. Covers single videos, playlists, audio extraction, subtitle-inclusive downloads, format-ID / resolution-capped downloads, SponsorBlock integration, live streams, and browser-cookie authentication.ai-agentsjavascriptrustVotes: 0GitHub stars: 30