agentfolio
FreeSkill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
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Research, academic papers, education, and exam prep (4.3K skills)
Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.
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Simulates academic peer review, evaluating papers across Originality, Methodology, Results, and Writing to provide Major/Minor Revision recommendations with actionable feedback. Triggers when a user asks to "review my paper," "simulate peer review," or "give my paper a peer review.
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Facilitate structured post-incident reviews to identify root causes, document what worked and failed, and produce actionable recommendations to improve future incident response.
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Use the Malpedia platform and API to research malware family relationships, track variant evolution, link families to threat actors, and integrate YARA rules for detection across malware lineages.
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Standard Operating Procedures for read-only codebase exploration, symbol search, dependency mapping, code tracing, code review, architecture analysis, technical research, source evaluation, and evidence-based reporting.
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Convert LaTeX papers between journal/conference templates for journal resubmission or template switching (e.g., Springer → MDPI, IEEE → Nature, IPOL → CVPR) through a privacy-preserving anonymized workflow. Use when the user provides a LaTeX .tex/project plus a target template directory or .tex file. Assume the input is not anonymized unless the user explicitly says it is already anonymized. Preserve privacy sentinels exactly; never open mapping.private.json except as a local script argument.
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Educational single-threaded TypeScript vanity address generator for Solana using @solana/web3.js with async iteration, event-loop yielding, streaming generator API, and best-effort memory zeroization.
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Use when a user asks for a concise Solana token research snapshot with market, trade, and security context
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Write and register a new Learning Hub article (Nuxt Content markdown under content/learn) with valid frontmatter, navigation entry, route list entry, and accurate product details. Use when adding or substantially rewriting a learn guide, reference, or tip.
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Synthesises retrospective notes, closing reports and post-implementation reviews into a DRAFT lessons-learned document: themed lessons with source counts, anonymised quoted evidence graded by strength, repeats against a prior register, contradictions, and a recommended owner with a stated basis for each follow-up. Names no individual or vendor and assigns no blame. Use when the user asks to "compile the lessons learned", "write up the retrospective", "theme the close-out notes", "what did we learn across these projects" or "refresh the lessons register". Do not use for a single sprint's review, use sprint-review-summary instead; for an incident investigation, use incident-postmortem-drafter; for customer feedback themes, use customer-feedback-theme-synthesis. Drafts for human review; never approves, authorises or signs off.
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Builds DRAFT user personas from the research notes, interview summaries, survey free text and support themes the user provides: for each persona the goals, pains, jobs to be done, context of use, quotes exactly as supplied with their participant codes, and the evidence count behind every attribute, with names, demographics and any detail no participant stated left UNKNOWN rather than invented. Use when the user asks to "build personas from these interviews", "who are our users based on this research", "draft user personas", "turn these research notes into personas" or "update our personas with the new interviews". Do not use for theming a batch of customer feedback into counts, use customer-feedback-theme-synthesis instead; for exit interviews, use exit-interview-synthesis; for the requirements those personas imply, use product-requirements-draft. Drafts for human review; never approves, authorises or signs off.
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Summarises one sprint from the board export, sprint report and review or stand-up notes the user provides into a one-page DRAFT sprint review summary: the sprint goal as written, items delivered, items not delivered with the reasons the sources state, carry-over, impediments, metrics exactly as given, and numbered questions for the retrospective, every row referenced to a work item or note fragment and every missing fact marked UNKNOWN. Use when the user asks to "summarise the sprint", "write the sprint review", "what did we deliver this sprint", "list the carry-over and blockers" or "draft the sprint recap". Do not use for the retrospective write-up or themed lessons across several sprints, use lessons-learned-synthesis instead; for a weekly project status report, use project-status-tracker. Drafts for human review; never approves, authorises or signs off.
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Builds a DRAFT quiz from the training content the user supplies (slide deck, manual, e-learning script, session transcript, procedure): numbered questions with the correct answer, distractors drawn from the content itself, an explanation quoting the source passage with its location, a difficulty tag (Recall, Apply, Analyse) with its basis, and a coverage table showing which sections and objectives each question tests and which are left uncovered. Use when the user asks to "build a quiz from this deck", "write knowledge check questions for this module", "create an assessment from this training", "test understanding of this procedure" or "which sections does this quiz cover". Do not use for a reader-facing question and answer page built from documents, use faq-builder instead; for writing the procedure itself from notes or a walkthrough, use sop-drafter. Drafts for human review; never approves, authorises or signs off.
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Builds a DRAFT course outline from a training need and audience: learning objectives with an observable verb, condition and standard, modules in a stated order with a duration basis and sources, activities and an assessment plan aligned objective by objective, and a coverage table showing what each objective still lacks. Never sets a pass mark, declares learners competent or invents content. Use when the user asks to "build a course outline", "design a training programme for", "turn this need into modules and objectives", "draft the curriculum for this workshop" or "what should this training cover". Do not use for quiz items from finished content, use training-quiz-builder instead; for needs from surveys and manager notes, use training-needs-synthesis; for a new starter's first weeks, use onboarding-plan-builder. Drafts for human review; never approves, authorises or signs off.
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Synthesises training survey responses and manager notes into a DRAFT training needs report by role: coded needs with record counts per role (n of N), the evidence type behind each count, anonymised quotes cited to record codes, disagreements between what staff report and what managers observe, gaps where a role is under-represented or a required skill has no evidence, and follow-up questions to settle before any course is designed. Never rates an individual, ranks a team or turns a count into a competence verdict. Use when the user asks to "analyse this training survey", "what training do our teams need", "summarise the manager feedback on skills gaps", "build a training needs analysis by role" or "which roles have the biggest skill gaps". Do not use for turning an agreed need into a course, use course-outline-builder instead; for exit interviews, use exit-interview-synthesis. Drafts for human review; never approves, authorises or signs off.
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Builds a DRAFT board paper skeleton from the sponsor's inputs: purpose, recommendation as the sponsor states it, options including do nothing, risks, financials exactly as provided, authority to decide and the decision sought, with every claim tagged evidenced, asserted or UNKNOWN so the sponsor sees what still needs support. Use when the user asks to "draft a board paper", "structure the committee paper", "prepare the decision paper for the investment committee", "skeleton the board memo" or "what goes in the paper for the audit committee". Do not use for a pre-read or briefing pack with no resolution sought, use executive-briefing-pack instead; to record a decision already taken in a discussion, use decision-memo-builder. Drafts for human review; never approves, authorises or signs off.
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Prepares a DRAFT leadership-meeting briefing pack from the reports, meeting notes, emails and dashboard exports the user provides: one headline, metrics exactly as stated with period and source, decisions the meeting must take, risks as reported, talking points with anticipated questions, a source reference on every line and UNKNOWN where the material is silent. Use when the user asks to "brief the leadership team", "prepare the exec pack", "pull together a briefing for the steering committee", "summarise these reports for the CEO", "what do I tell the board on Monday" or "build the pre-read for the management meeting". Do not use for a formal board or committee paper seeking a resolution, use board-paper-skeleton instead; for a personal one-page prep drawn from the user's own calendar and inbox, use meeting-prep-onepager. Drafts for human review; never approves, authorises or signs off.
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Flags where a P&ID draft raises a process safety question and points to the candidate evidence an engineer would review (HAZOP register, relief study, SIL assessment, isolation philosophy), as questions and quoted passages with UNKNOWN for missing documents, plus safety functions, relief devices and isolation requirements carried over as stated. Never rates, sizes, classifies, resolves or declares protection adequate. Use when the user asks to "write the process safety flags", "produce the process safety section of the P&ID enrichment", "list which protection questions this P&ID raises" or "map the HAZOP and relief study evidence to the draft" after gate G2, once the piping and instrumentation sections exist. Do not use for proposing loops, alarms or trips from the control philosophy, use instrumentation-and-control-enrichment instead; do not use for checking identifiers, use tagging-and-numbering. Drafts for human review; never approves, authorises or signs off.
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Quiz the user on a plan, implementation, or codebase to pay down understanding debt left by AI tooling. Explicit invocation only.
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新しいソフトウェア/デジタルプロダクトのコンセプトを対話で固め、競合・類似プロダクトを並列調査し、軽量な仕様ドラフトを作るオーケストレーションスキル。/product-spec <一言のプロダクトアイデア> で明示的に呼び出されたときのみ使用する。
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既存プロダクトへの機能追加の仕様を対話で固め、既存コード・既存仕様との整合を調査して REQ-# 契約付きの docs/dev/<対象>/spec.md を作成・改訂するスキル。/feature-spec <対象名> で明示的に呼び出されたときのみ使用する。
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Nix パッケージがバイナリキャッシュから降ってこずローカルビルドになる原因を調査する。
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Tutor the user step by step on a plan, implementation, codebase, or topic to pay down understanding debt left by AI tooling. Explicit invocation only.
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Navigate the user through reading code stop by stop to pay down understanding debt left by AI tooling. Explicit invocation only.
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