SkullRageX
Community@pandejesal
SkullRageX publishes swarm-plugin skills for multi-agent code review, CI failure remediation, GitHub PR lifecycle management, and structured engineering execution protocols.
Agent Skills by SkullRageX
Showing 41 vetted skills indexed across 1 GitHub repositories.
merge-queue-readiness
Simulates merge-group CI locally before adding a pull request to a GitHub merge queue.
gate-attribution
Attributes reviewer and test_engineer dispatch verdicts to individual plan tasks.
skill-edit-validation
Validates test assertions after editing skill markdown content to prevent stale-assertion CI failures.
swarm
Orchestrates parallel subagent exploration, independent reviewer validation, and critic challenge for code tasks.
running-tests
Executes Bun test suites safely with scope guards, per-file isolation loops, and failure classification.
design-docs
Generates and syncs language-agnostic design documentation with stable section IDs and traceability.
issue-tracer
Investigate, root-cause, and resolve software issues with evidence-gated fix workflows.
deep-dive
Audits codebase scope with parallel explorer waves, dual reviewers, and critic challenges.
discover
Maps repository structure, API surfaces, and governance rules into context files.
council
Convenes a three-agent advisory council with web research, parallel dispatch, and synthesis.
ci-fix-monitor
Diagnose CI check failures on pull requests and push fixes until green.
brainstorm
Guides structured discovery dialogue, approach selection, and spec drafting through a seven-phase protocol.
parallel-work-check
Detects parallel remote commits on existing branches before starting local work.
ci-failure-batching
Collects all CI check failures on a pull request before fixing them in one push cycle.
plan
Generates structured implementation plans with QA gates, clarification funnels, and spec traceability checks.
issue-ingest
Ingests GitHub issues, localizes root causes, and generates resolution specs.
fork-pr-operations
Manages fork pull request workflows including workflow approval, force-push protocol, and stale CI verification.
clarify
Runs a four-stage clarification funnel with critic review before surfacing user decisions.
resume
Resumes an approved swarm plan from current state after reconciling stale worktrees and context.
deep-research
Orchestrates multi-round web research with parallel synthesis and dual-reviewer claim verification.
orchestrating-subagents
Defines tiering, fan-out, and prompt contracts for delegating work to subagents.
engineering-conventions
Enforces engineering invariants and safety rules for modifying the opencode-swarm plugin codebase.
durable-session-state
Persist plans, decisions, evidence, and approval gates to durable files during long tasks.
codebase-review-swarm
Runs quote-grounded multi-track codebase audits with coverage closure and critic validation.
Frequently Asked Questions About SkullRageX
FAQPage SchemaWhat tasks can I automate using SkullRageX's skills?▼
You can automate CI failure diagnosis and batched fixing, merge-queue readiness simulation, deep pull request review, fork PR operations, issue investigation and resolution, test execution and authoring, and structured modes like PLAN, EXECUTE, SPECIFY, and DEEP_RESEARCH across the opencode-swarm system.
Who are these swarm-plugin skills designed for?▼
They target engineers and agent harnesses operating the opencode-swarm repository: architects dispatching modes, implementers, reviewers, test engineers, and critics. Every skill declares audience 'swarm-plugin', so they serve multi-agent coding sessions rather than general end users.
How are the skills triggered at runtime?▼
Mode skills load on demand when the architect emits a signal such as [MODE: DEEP_DIVE] or [MODE: LOOP]. Others trigger contextually, e.g. ci-failure-batching on any failed PR check, merge-queue-readiness before queueing a PR, and running-tests whenever tests must be executed.
Are SkullRageX's skills open source?▼
Skills with explicit licensing, including issue-tracer and codebase-review-swarm, are released under the MIT license at no cost. Most other skills in the manifest declare no license field, so their terms default to the hosting repository's conditions.
What prerequisites and dependencies do these skills require?▼
They require the opencode-swarm environment with its .swarm storage, runtime adapters (.claude, .agents), and GitHub PR/CI access. Testing skills assume bun:test and bun shell commands; engineering-conventions defers to AGENTS.md and docs/engineering-invariants.md as authoritative sources.