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Draft self-assessments, peer reviews, and feedback for managers using concrete examples of work and collaboration. Organizes achievements around context, actions, and results, matches your writing voice, and flags sections that need more evidence or detail.
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Prepare repository contributions by checking existing guidelines, related issues, branch naming rules, commit formats, and pull request templates. Organize changes into logical commits and assemble submissions that follow the project's documented contribution process.
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Make resume achievements more specific by identifying useful numbers, such as workload, time saved, or revenue. Guided questions uncover measurable contributions, while conservative estimates and documented reasoning help describe experience when exact records are unavailable.
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Investigate how transformer language models produce predictions with TransformerLens. This skill guides inspection of intermediate values and attention patterns, plus experiments that replace internal values to test their effects and identify components involved in model behavior.
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Coordinate multiple agents to maintain context-mode, from sorting GitHub issues and reviewing pull requests to preparing releases and announcements. Workflows require reproduced bugs, source evidence, test-first changes, and checks across supported platforms.
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Evaluate prospective business partners using evidence of their customer relationships and sales contributions. Recommend a partnership tier, build a 90-day joint sales plan, and compare revenue sharing with direct-sale margins, including conditions for ending the partnership.
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Examine strategic decisions through a structured meeting of AI agents representing executive roles. Gather independent recommendations, challenge assumptions, summarize disagreements, and record approved decisions with action owners and deadlines after the founder reviews the proposal.
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Develop independent solutions to a defined problem, compare them against shared requirements, and combine useful contributions into a coherent recommendation. An independent assessment and evidence checks support the selection, while unresolved tradeoffs and verification needs remain explicit.
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Guides review of pull requests from external forks, covering code ownership, contribution terms, security-sensitive changes, and tests tied to the reviewed commit. It produces a review record and supports moving changes to a maintainer branch when needed.
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Check that changes to existing PEFT methods still work with saved training checkpoints. The skill guides compatibility tests, configuration checks, benchmark comparisons, and reporting, including comparisons of model outputs before and after a change.
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Build, improve, review, or troubleshoot Agent Zero plugins for local use or community distribution. Follow plugin structure and installation rules, verify behavior in the target runtime, and prepare repository and Plugin Index contributions when requested.
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Find related papers across local PDFs, research notes, and web sources, then summarize their key contributions and relevance. Use existing collections as a starting point, remove duplicates, and search for literature that fills gaps.
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Turn a vague research approach into a concrete method proposal with focused contributions and minimal validation experiments. Ground the plan in relevant papers, then refine it through GPT-6-Astra reviews while preserving the original problem and resource constraints.
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Maintain a collection of architecture decision record templates, examples, translations, and tool links. It explains which files to update for each contribution and how to review pull requests for completeness, consistent formatting, and relevant content.
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Investigate how transformer language models produce predictions with TransformerLens. This skill guides inspection of intermediate values and attention patterns, plus experiments that replace internal values to test their effects and identify components involved in model behavior.
中文简介正在准备中。当前显示英语简介。
Navigate Apache Beam contributions from finding an issue to submitting a pull request, a proposed code change, and responding to reviews. Covers environment setup, tests, formatting, licensing requirements, and closer evaluation of changes to core components.
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Prepare external contributions to gentle-ai through approved issues, accurate pull request descriptions, and plans for splitting large changes. Check claims against test results and GitHub state while respecting contributor and maintainer permissions.
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Help an agent join a shared project by reading the project plan, identifying assigned tasks and dependencies, recording work, and reporting completion to the coordinator. It also covers Git author settings so each worker's contributions can be identified.
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Turns collected repository statistics into an eight-panel PNG infographic. It shows pull request outcomes, timing, code changes, and human versus agent activity, with scripts to recalculate figures and check them against available source records.
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Find and review pull requests created with GitHub Copilot using author searches, branch names, and Git history. Follow practical checks for changes and tests, and export request lists to CSV to track contributions.
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Compare how different attribution models, or ways of assigning conversion credit, change campaign results across Google and Meta. The skill highlights shifts in credited conversions and return on ad spend, then suggests budget adjustments based on the comparison.
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Assesses a research paper outline (.qmd file) against structured criteria from Kosuke Imai's empirical research guide. Evaluates the abstract and section outline for: research question clarity, stated contributions, hypotheses and testable implications, data description, planned results and inferential approach, and robustness checks. Detects causal papers from the abstract and conditionally assesses identification strategy only when causal framing is present. Produces a structured markdown report with PASS/PARTIAL/FAIL assessments and actionable suggestions. Use when asked to assess, evaluate, review, or check a paper outline, abstract-and-outline, or research plan in a .qmd file.
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Review empirical economics papers using criteria modeled on leading journals. Examine causal reasoning, theoretical explanations, regression tables, figures, robustness, and contributions to prior research, then organize potential flaws by severity with concrete suggestions for revision.
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Skeptical review of outside contributions to public repos. Use when reviewing, ranking, or replying to public GitHub pull requests or issues from outside contributors, or when the user says "larp-detector".
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