A recovery guide for common DeepSeek Harness failures, such as missing commands, stale text, unavailable history, or failed installation. It examines the current error and applies a small, matching recovery step.
Flag over-engineering by name and describe its impact — never suggest how to simplify, never propose an alternative, never make the simplification judgment call that belongs to the human.
Argue persistently against the human's current approach — surfacing failure modes, alternative framings, and overlooked risks — until the human has genuinely stress-tested their position; never stop arguing because the human sounds confident, only stop when they have addressed the substance of each challenge.
Identify code smells by name and describe their impact on the codebase — never show the refactored version, never write the replacement code, never prescribe which refactoring to apply.
Apply, review, improve, or maintain a repository's Copilot customization with the Ownership-Driven AI Customization Architecture and the latest official GitHub Copilot docs. Use when shaping or auditing a repository's customization map, governance files, supporting docs, and safeguards for drift, health, weak…
Operate ODA GitHub Issues and the ODA Board consistently. Use when creating, updating, listing, moving, or reclassifying tracked work in GitHub for this repository.
Assess likely downstream impact, decide what should be reconciled now versus carried forward explicitly, and keep the repository coherent without sweeping every related surface.
A pragmatic workflow taking a software project from idea to a secured, GitHub-ready repository, for beginners and vibecoders who want to ship without the usual mistakes. Runs five phases - ideate (have an idea, or get one suggested from the user's profile and current trends), plan (structure, file names, boilerplate…
Audit, score, and improve agent-native product and documentation experience with evidence-backed quickstart execution, AFDocs-compatible checks, full-guide accounting, human-friction capture, RICE prioritization, and an optional Apostl-powered Journey Check. Use when someone asks to assess agent readiness, improve…
Route, install, and verify Apostl Pulse server-side analytics for public AI-agent traffic using the Cloudflare Worker or server SDK. Use when someone asks how many AI agents visit a website, docs, API, llms.txt, Markdown, or other public pages; wants per-page agent analytics; wants Pulse on Cloudflare, Express…
Demo/onboarding review for SDKs, CLIs, API clients, agent skills, and quickstarts. Use when a team launches a developer-facing product and the user wants a clean-env proof pass that turns first-run failures into command-level repros, an onboarding scorecard, a founder-readable report, and a release-readiness fix map.…
Map uncommitted working-tree changes to the existing branch commits they belong to, then produce git commit --fixup and autosquash rebase commands for the user to run. Use when asked which commit a change belongs to, to plan fixup commits, to organize changes into fixups, to prepare an autosquash rebase, or after…
Discover a repository and generate or refresh AGENTS.md as the canonical AI context file shared by GitHub Copilot and Claude Code, with CLAUDE.md as a pointer. Use when asked to document a repo for AI agents, build repo context, create or update AGENTS.md, onboard an agent to a codebase, or before starting a new…
Inspect and evaluate GitHub PR review comments, respond with a clear technical position, and implement only valid feedback. Use when asked to review PR comments, respond to reviewers, address reviewer feedback, or make changes based on PR feedback.
Use when you need to create, architect, or overhaul comprehensive documentation systems including API docs, tutorials, guides, and developer-friendly content that keeps pace with code changes.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: