用生物演化逻辑(遗传变异+自然选择)应对不确定性,通过MVP启动→市场反馈筛选→变异创新→积累优势的循环来迭代产品或团队。适用于目标不明确、环境变化快、无法提前规划的场景。不适用于目标明确、路径清晰的确定性项目(用计划更高效)。计划与演化是阴阳互补:计划=阳(效率),演化=阴(应对不确定)。关键触发信号:"不确定用户要什么"、"市场变化太快"、"计划赶不上变化"、"先跑起来再说"。
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策划、销售、财务、法务、项目管理(4122 个)
用生物演化逻辑(遗传变异+自然选择)应对不确定性,通过MVP启动→市场反馈筛选→变异创新→积累优势的循环来迭代产品或团队。适用于目标不明确、环境变化快、无法提前规划的场景。不适用于目标明确、路径清晰的确定性项目(用计划更高效)。计划与演化是阴阳互补:计划=阳(效率),演化=阴(应对不确定)。关键触发信号:"不确定用户要什么"、"市场变化太快"、"计划赶不上变化"、"先跑起来再说"。
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Personal finance assistant for budgeting, savings goals, investment tracking, debt optimization, tax preparation, insurance review, net worth tracking, and financial scenario modeling. Supports multi-currency, bank statement import (CSV/MT940/OFX), and locale-based tax rules. Use for any personal finance question: budget planning, expense tracking, portfolio allocation, FIRE calculations, debt payoff strategies, mortgage comparisons, tax deductions, insurance coverage, retirement planning, and life events with financial impact such as marriage, buying a house, changing jobs, having a baby, or going freelance.
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Shared conventions for every SDLC development-phase architect agent: hard rules, code quality bar, workflow steps (superpowers invocation, spec reading, codebase exploration, verification), and the report/compact-summary contract. Architects load this skill first, then apply their stack-specific instructions on top.
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Framework-agnostic SQLAlchemy 2.0 core shared by fastapi-plugin and flask-plugin: declarative mapped classes with Mapped/mapped_column, column type selection, relationships with explicit lazy loading and cascades, 2.0-style select() querying, transaction/flush discipline, and Alembic-agnostic migration metadata rules. Framework plugins layer their delta skills (async sessions for FastAPI, Flask-SQLAlchemy integration for Flask) on top of this skill. Use this skill to: - Write SQLAlchemy 2.0 declarative models with Mapped[T] annotations and mapped_column(). - Pick correct column types (String(N), Numeric, DateTime(timezone=True), Uuid, Enum). - Define relationships with explicit lazy loading strategy and cascade settings. - Query with 2.0-style select() statements and manage flush vs commit boundaries. - Keep model metadata visible to Alembic autogenerate. Do NOT use this skill for: - FastAPI async engine/session lifecycle — see fastapi-plugin:sqlalchemy-patterns. - Flask-SQLAlchemy extension setup and Flask-Migrate — see flask-plugin:sqlalchemy-patterns. - Python idioms — see python-foundation:python-conventions.
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OctoClaw is the TypeScript-first policy, delegation, status, and operator layer for OpenClaw. Use it when a turn should be routed through reply/delegate policy, WorkContract-backed delegation, runtime status, IM delivery, or feedback-loop tooling.
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Model selection strategy and routing. Use when choosing between models for different task types, subagent configurations, or optimizing token cost vs quality tradeoffs.
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Evaluate tabulated subcontractor bids against specs and drawings — scope gap analysis, exclusion risk scoring, award recommendation. Triggers: 'evaluate bids', 'bid evaluation', 'lowest responsible bidder'.
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Generate a complete subcontract from a firm's template, awarded bid, and project specs. Outputs a Word document. Triggers: 'subcontract', 'sub agreement', 'write contract', 'draft subcontract'. Requires awarded bid.
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Derive this project's own integration conventions from what the code already does, draft them as a wiring contract, and hold new work to it. Closes the built-but-not-wired gap at L3 (walking skeleton) — a mechanism that ships and is never called reads green in every other check.
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Bring Mycelium into a project that already has code. Detects that the repo predates the framework, asks before touching anything, then reads the codebase to draft what it CAN establish (delivery, solution shape) and — the actual point — names what it cannot (purpose, strategy, real user evidence). The output is a discovery backlog with a head start, never a filled canvas.
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Structures PPA analysis with tangible/intangible asset identification, useful life estimation, and goodwill calculation. Use when modeling purchase accounting, allocating deal price, or estimating amortization impact.
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Builds regime detection models with hidden Markov, threshold, and Bayesian change-point methodologies for strategy adaptation. Use when modeling regime changes, detecting market shifts, or adapting strategies to market conditions.
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Builds project finance models with construction period draws, operational cash flows, DSCR covenants, and sculpted debt repayment. Use when modeling project finance, calculating debt service coverage, or structuring project lending.
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Structures fresh-start accounting analysis with reorganization value allocation, new basis determination, and emergence balance sheet. Use when modeling fresh-start accounting, preparing emergence financials, or allocating reorganization value.
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Structures official committee operations with financial advisor engagement, investigation scope, and plan negotiation strategy. Use when supporting creditor committees, coordinating committee advisors, or analyzing committee positions.
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Structures portfolio company engagement with board preparation, hiring support, business development, and follow-on strategy. Use when supporting portfolio companies, preparing board meetings, or coordinating investor resources.
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Structures secondary portfolio construction with vintage diversification, strategy mix, and geographic allocation optimization. Use when building secondary portfolios, managing allocation targets, or optimizing portfolio composition.
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Assesses marketplace dynamics with take rate analysis, liquidity metrics, supply/demand balance, and network effect strength. Use when evaluating marketplaces, analyzing take rates, or assessing network effect moats.
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Assesses scaling companies with product-market fit validation, unit economics maturity, and growth trajectory sustainability analysis. Use when evaluating growth-stage investments, analyzing scaling businesses, or assessing expansion readiness.
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Assesses litigation outcome impact with settlement probability, damage range estimation, and stock price sensitivity analysis. Use when evaluating litigation catalysts, modeling legal outcomes, or analyzing litigation-driven opportunities.
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Monitors structured product performance with collateral deterioration triggers, coverage test tracking, and credit migration analysis. Use when conducting ABS surveillance, monitoring CLO performance, or tracking structured product credit.
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Evaluates fund performance against peer universes with vintage year comparison, quartile ranking, and strategy-specific benchmarking. Use when benchmarking fund performance, analyzing vintage comparisons, or assessing relative positioning.
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Assesses startup viability through business model canvas analysis, unit economics validation, and market timing evaluation. Use when evaluating startup pitches, analyzing business model sustainability, or assessing product-market fit.
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Analyzes concession terms with revenue sharing, performance requirements, hand-back conditions, and termination provisions. Use when evaluating concessions, analyzing PPP contracts, or assessing concession economics.
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