freenet-freenet-agent-skills

Plugin freenet-freenet-agent-skills from marketplace cascade-ai-ml-agents-misc-2 in joshuarweaver/cascade-ai-ml-agents-misc-2. Commands read from the repo's manifest — 1 month ago.

Skills (7)

• dapp-builder

  Build and maintain decentralized applications on Freenet using river as a template. Guides through designing contracts (shared state), delegates (private state), and UI, and through upgrading a live dApp safely. Use when user wants to create a new Freenet dApp, design contract state, implement deleg

• linux-test

  Run integration tests that require Linux (full loopback range 127.x.x.x) via Docker. Use when a test fails on macOS with "Can't assign requested address" or when the user says "/linux-test".

• local-dev

  Set up and manage local Freenet development environments and interact with a running node. Use when the user wants to test contract changes locally, debug UI issues, run a local node, query connections/diagnostics, inspect the dashboard, use the WebSocket API, or iterate on a Freenet application wit

• pr-creation

  Guidelines for creating high-quality Freenet pull requests. This skill should be used when creating PRs for freenet-core, freenet-stdlib, or related repositories. Emphasizes quality over speed, thorough testing, and proper review process.

• pr-review

  Executes a risk-tiered, multi-perspective PR review — triages the change, runs specialist subagents in parallel (code-first, testing, skeptical, big-picture) plus an external model pass scaled to risk, then posts a consolidated review to the PR.

• release

  Orchestrate a new Freenet release. Determines next version, shows changelog, confirms with user, and triggers the release pipeline via GitHub Actions. Use when the user says "do a release", "new release", "release", or "/release".

• systematic-debugging

  Methodology for debugging non-trivial problems systematically. This skill should be used automatically when investigating bugs, test failures, or unexpected behavior that isn't immediately obvious. Emphasizes hypothesis formation, parallel investigation with subagents, and avoiding common anti-patte

Subagents (6)

• big-picture-reviewer

  Reviews PRs for alignment with stated goals, detects "CI chasing" anti-patterns, and ensures AI agent/skill instructions stay up to date with code changes. Critical for catching removed tests/fixes and stale automation rules.

• code-first-reviewer

  Reviews PR code changes independently before reading the description to catch discrepancies between implementation and stated intent. Use as part of parallel review process.

• code-simplifier

  Simplifies code, cleans up changes, and ensures documentation is accurate before review. Use after completing a PR but before running review agents to ensure reviewers see the cleanest version of the code with up-to-date docs.

• codebase-investigator

  Performs parallel readonly investigation of a codebase to gather evidence for debugging. Searches for patterns, checks git history, reads related files. Use when debugging to parallelize evidence gathering.

• skeptical-reviewer

  Performs adversarial review of PR changes, actively looking for bugs, edge cases, race conditions, and failure modes. Assumes bugs exist until proven otherwise.

• testing-reviewer

  Reviews test coverage for PR changes, analyzing whether changes are adequately tested at appropriate levels (unit, integration, simulation). Use as part of parallel review process.

Hooks (1)

• PreToolUse

  ${CLAUDE_PLUGIN_ROOT}/hooks/claude-pre-commit-hook.sh

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