overleaf-compile

Iterative multi-agent code review. Four cross-agent skills: review-anvil (engine — requested rounds of parallel codex-exec/claude-exec reviewers, adaptive continuation up to max_rounds, synthesized findings, default-on batched reproduction, and optional fix commits), review-anvil-readonly (engine with commit_mode=none), review-anvil-pr (read-only PR review with hybrid posting — inline review comments for file-anchored findings + top-level summary for the rest), review-anvil-improve-pr (productive PR loop — posts a 'starting' PR comment cc'ing the author, applies fix commits across requested/adaptive rounds, pushes back to the PR, then edits the starting comment in-place with the synthesized report or failure summary). Reviewers get distinct lenses, validate PR-author replies against current code, and suppress explained findings; the PR helper resolves only verified obsolete review-anvil threads. Uncertain material findings are reproduced against code before being applied or posted; a per-round build/test gate keeps fix commits green; Bash-dispatched reviewers run under a run-reviewer.sh watchdog (hard timeout, empty-output detection). PR posting and verification delegated to `set -euo pipefail` shell helpers.

4 skills

Delegate code review, plan review, and deep exploration tasks to Claude Code CLI from Codex or other agents

1 skill

Delegate code review, plan review, and deep exploration tasks to Codex CLI from Claude Code

1 skill

Bulk-post anchored Google Docs comments (with @-mentions) from a JSON plan via Chrome DevTools Protocol. Uses the chrome-cdp skill to drive an existing logged-in browser tab.

1 skill

Upload local images to a GitHub PR description or comment without committing them to the repo, using release assets as a CDN. Works from the CLI for private repos.

1 skill

Bulk-post Overleaf comments from a JSON plan via Chrome DevTools Protocol. Uses the chrome-cdp skill to drive an existing logged-in browser tab.

1 skill

Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).

6 skills · 8 commands · 4 agents · hooks

Agent-Native Research Artifact (ARA) tooling: compile any research input (paper, repo, notes) into a structured artifact, record session provenance as a post-task epilogue, and run Seal Level 2 epistemic review. Use when ingesting research into a falsifiable, agent-traversable artifact, capturing how a research project actually evolved, or auditing an ARA for evidence-claim alignment.

98 skills

Detects missing or compiler-optimized zeroization of sensitive data with assembly and control-flow analysis

1 skill · 11 agents · 1 MCP server

Runs a six-phase research workflow from source bundle to publish-ready output. Use when researching an unfamiliar domain or compiling materials into one reference. Not for quick lookups or single-file reads.

1 skill

Contribution-first, reviewer-aware academic paper and report writing system.

2 skills

Develop high-performance C/C++ plugins for Stata — SDK setup, .ado wrappers, cross-platform compilation, performance optimization, and Python/R package translation.

1 skill