开发技能

Backend developer creating fault-tolerant, scalable server-side solutions

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API developer specializing in clean, well-documented REST APIs

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Senior engineer conducting thorough, constructive code reviews. Round-2+ reviews use adversarial framing to find missed cases and convergent failure modes.

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Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Can critique architecture. Use why for motivation.

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Skeptical analysis and critique of claims, plans, and code without taking anyone at face value. Use when the user says "don't trust me", wants adversarial review, red-teaming, assumption checking, or verification that generated or proposed code is actually correct. Triggers on skepticism, critique everything, verify claims, challenge assumptions, red team, devil's advocate, prove it, smell test.

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Create, run, schedule, or debug MotherDuck Flights, Python jobs executed on MotherDuck compute.

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Use the MotherDuck CLI for terminal queries, authentication, and file-based Dive or Flight workflows.

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Administer MotherDuck service accounts, tokens, Ducklings, and Dive embed sessions through the control-plane REST API.

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Publish the octop-browser Python package: cut a release branch from develop, bump version, update CHANGELOG / README, open a PR to main; after merge, Actions tag on main (PyPI + GitHub Release) and sync main into develop. Use when the user asks to publish, release, bump version, cut a release, or run /publish.

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Use whenever the user wants to find, rank, or shortlist directories and registries where they can submit or list an MCP server (Model Context Protocol server) — to get backlinks, referral traffic, and discovery by agent builders. Triggers on "where do I list my MCP server", "best MCP directories", "MCP registries to submit to", "get my MCP server discovered", or "pull submission details for these MCP-directory domains", even when described indirectly (we built an MCP server, where do we publish it). Drives the ServiceGraph API (api.servicegraph.co) — a catalog of 1,000+ product directories enriched with Domain Rating, backlinks, and organic traffic. Defer to find-ai-directories for general AI-tool / AI-agent / agent-skill listings, and to find-product-directories for general SaaS/software launches. Skip building an MCP server or asking how MCP works (DIY), finding a firm to build one (use find-ai-consultancy / find-software-developer), and MCP link-building *services*.

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Use whenever the user wants to find, rank, or shortlist directories and listing sites where they can submit an AI product — an AI tool, AI app, AI agent, or agent skill / plugin — to get backlinks, referral traffic, and discovery. Triggers on "where can I list my AI tool", "directories to submit my AI agent", "agent-skills directories", "best AI tool directories for backlinks", "where do I get my GPT/Claude app discovered", or "pull submission details for these AI-directory domains", even when described indirectly (we built an AI agent, where do we get it in front of people). Drives the ServiceGraph API (api.servicegraph.co) — a catalog of 1,000+ product directories enriched with Domain Rating, backlinks, and organic traffic. Defer to find-mcp-directories for MCP-server listings specifically, and to find-product-directories for general SaaS/software/app launches with no AI angle. Skip finding an AI consultancy/agency to hire (use find-ai-consultancy), comparing AI products ("ChatGPT vs Claude"), building an AI tool (do-the-work), and AI link-building *services*.

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Debug CI failures in unfamiliar repo pipelines. Reads CI configs, fetches failure logs, classifies the failure type, and guides the user through diagnosing and fixing the issue. Use when CI fails on your PR in an OSS repo, when you don't understand a CI error, or when debugging GitHub Actions/CircleCI/other CI systems. Not for setting up CI from scratch — this is for debugging existing pipelines.

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Implement the separately maintained Documents React client for AuthCrunch encrypted storage, recovery keys, chunk upload/download, recipient sharing, and safe session handling. Does not implement manager/profile APIs or provision the backend.

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Apply AuthCrunch coding contracts when creating, modifying, or reviewing repository code. Covers package ownership, dedicated configuration parsers, public APIs, validation, errors, logging, serialization, and security boundaries, and routes to the owning implementation skill.

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Maintain the downstream pkg/oidc OpenID Provider and portal adapter, including client configuration, code/PKCE, claims, consent rendering, response policies, provider tokens, and conformance. Excludes upstream OAuth providers and portal refresh-token transport.

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Maintain request-time claims enrichment, its public backend and parser APIs, gatekeeper and validator hooks, and the static claims-enrichment plugin. Excludes portal issuance-time transforms and token signing.

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Maintain local identity database transactions, file locking and atomic persistence, cross-instance credential revocation, authenticated self-service operations, TOTP replay/lockout state, and external-account attachments.

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Maintain user-owned GPG and SSH public-key parsing, profile API registration, identity database persistence, format compatibility, and maintained OpenPGP dependencies. Excludes portal signing-key publication and admin private-key export.

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go-authcrunch source code management and commit message rules. Use when creating, reviewing, or updating commit messages, especially when the user asks to create a commit message for a change in this repository.

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Maintain the local RSA-PSS PS256 signing plugin, its public parser, refresh-engine composition, public JWKS, and strict core verification. Excludes portal or OIDC signer selection and remote KMS backends.

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Dissect the current Git change set, treated as an epic, domain-wise and logically into cohesive parts and materialize each part in its own dedicated Git WorkTree. Use when the user calls to "dissect", "split", "break up", or "decompose" a large change set into atomic, separately committable parts.

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Edit Specification: Use when the user wants to "edit" the SpecBook-based specification (SPEC) in one shot from a query, with optional grilling, SpecBook validation, looping, and Git worktree isolation.

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Give insights into the source code.

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Edit Source Code: Use when the user wants to "edit" the code base in one shot from a query or a bare analyzer issue id like "P1", fusing crafting, refactoring, and resolving with optional grilling, verification, looping, and Git worktree isolation.

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