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pedrohcgs/claude-code-my-workflow

SkillsMP は pedrohcgs/claude-code-my-workflow から 51 件の skill を収集しています。skill を開くとソースと詳細を確認できます。

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収集済み skills
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このリポジトリの skills

収集済み skill 51 件中 40 件を表示しています。

職業分類
編集者
説明

Generate the submission-time disclosure block for a manuscript — the AI-use disclosure statement matched to the target journal's policy, CRediT author-contribution roles, conflict-of-interest statement, and data-availability statement. Use when the user says…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Root-cause a failing or wrong empirical result with a disciplined reproduce → minimise → hypothesise → instrument → fix loop, instead of guessing-and-poking. Use when the user says "why is my regression wrong", "this number changed", "my script errors out",…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Enforce the replication-protocol.md rule by cross-checking numeric claims in a manuscript against the actual R / Stata / Python outputs. Report PASS/FAIL per claim against tolerance thresholds. Use before submission and before releasing a replication package.

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Deep consistency audit of the entire repository infrastructure. Launches 4 parallel specialist agents to find factual errors, code bugs, count mismatches, and cross-document inconsistencies. Then fixes all issues and loops until clean. Use when: after making…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Create a new Beamer lecture `.tex` from source papers and materials, with notation consistency checks and the project's preamble wired in. Use when user says "create a lecture on X", "new lecture from these papers", "start a deck on topic Y", "scaffold a new…

原文の言語: 英語

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職業分類
編集者
説明

Comprehensive manuscript review with three modes: single-pass (default), --adversarial critic-fixer loop, and --peer [journal] simulated peer-review pipeline (editor + 2 dispositioned referees + editorial decision, calibrated to a target journal). R&R…

原文の言語: 英語

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職業分類
データサイエンティスト
説明

Run a staggered difference-in-differences / event-study analysis to the Sant'Anna practitioner standard — drives the canonical packages (R `did`/`DRDID`/`didFF`/`contdid`; Stata `csdid`/`drdid`), enforces the doubly-robust default, a mandatory diagnostic +…

原文の言語: 英語

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職業分類
データサイエンティスト
説明

Compute statistical power, required sample size, and minimum detectable effect (MDE) for a study design, then write a registry-ready power section. Handles two-arm RCTs (with clustering / ICC and unequal allocation), multiple-arm corrections, and a…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Scaffold a new skill that follows this repo's conventions — interviews for purpose, trigger phrases, and tool needs, then writes `.claude/skills/<name>/SKILL.md` from the skill template with frontmatter and body that pass the integrity gates on first try. Use…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Turn student course evaluations (free-text + numeric) into an actionable teaching-improvement plan — the teaching analogue of /respond-to-referees. Clusters comments into themes, separates signal from noise, classifies each theme Keep / Change / Investigate /…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Scaffold a graded problem set with sections, problems, worked solutions, and short "why this matters" explainers across analytical, empirical, and coding types. Use when user says "make a problem set on X", "scaffold exercises for this lecture", "create…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Build or restructure a course syllabus from a topic list or reading list — course description + prerequisites, week-by-week schedule (topic → readings → deliverables), measurable learning objectives, an assessment scheme + rubric, standard policies (late…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Turn a research paper into teaching materials — a lecture outline, the 3-5 results worth presenting (with intuition), a slide skeleton ready for `/create-lecture`, discussion questions, and a problem-set brief. Reads the paper end-to-end and pitches to a…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Triage academic email and calendar (Gmail / Google Calendar via the session's MCP) into a prioritized digest plus a referee-obligations tracker — classifying referee requests, R&R and editor correspondence, co-author threads, seminar and conference invites,…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Snapshot the computational environment for a replication package — detects the analysis stack (R / Stata / Python) and emits the right lockfiles (renv.lock + sessionInfo.txt, requirements.txt / environment.yml / uv.lock, Stata version + ado package list),…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Generate a co-author / collaborator handoff brief for a multi-author, multi-machine project — summarizing what changed since the last brief (git delta), the current state of each artifact (manuscript, analysis, slides), open questions, how to reproduce…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Draft a funder-compliant Data Management Plan (NSF DMP, NIH DMS Policy 2023, ERC, Horizon Europe) by composing the confidential-data and environment-capture primitives. Sections cover data description, formats/metadata, storage/backup, access/sharing,…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Pre-screen analysis outputs (tables, figures, logs) built on restricted or confidential data for statistical-disclosure-limitation problems before any release. Scans for small cell counts, complementary-suppression gaps, dominance (p-percent / (n,k)),…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Scaffold a research grant proposal (NSF, NIH, ERC, or foundation) by composing existing primitives — pulls identification strategy from an `/interview-me` spec, delegates the data-management plan to `/data-management-plan` and the facilities statement to…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Draft a structured preregistration document (OSF, AsPredicted, or AEA RCT Registry style) from a research spec or free-form study description. Output is a Markdown file with hypotheses, design, sampling plan, analysis plan, exclusions, and inference criteria…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Assemble a submission-ready replication package to the AEA Data and Code Availability Standard (DCAS) / openICPSR / Social Science Reproduction Platform expectations — standard replication README, dataset manifest, computational-requirements capture, a…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Adversarial Quarto-vs-Beamer parity QA. A critic agent compares the Quarto HTML render to the Beamer PDF benchmark for content/visual parity; a fixer agent applies fixes; loops until APPROVED (max 5 rounds). Use when user says "qa the quarto", "check parity",…

原文の言語: 英語

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職業分類
編集者
説明

Mechanize Pattern 15 — the seven-pass adversarial review protocol for academic manuscripts. Spawns 7 forked subagents in parallel (abstract, intro, methods, results, robustness, prose, citations), then synthesizes a prioritized revision checklist. Use for…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Multi-agent comprehensive slide review (visual + pedagogy + proofreading, plus TikZ / parity / substance conditionally). Use when user says "full review", "excellence pass", "comprehensive check", "review everything", "pre-release review", "slide excellence",…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Validate bibliography entries against citations in all lecture files. Structural checks (missing/unused entries, malformed fields) by default; `--semantic` adds citation-drift detection, DOI verification, and style-consistency checks.

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Run Chain-of-Verification (CoVe) on a draft or a block of text with factual claims. Spawns the `claim-verifier` agent in a forked (fresh) context so it never sees the draft — then reports which claims are supported, contradicted, or unverifiable. Use when…

原文の言語: 英語

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職業分類
その他コンピュータ職
説明

Review candidate `[LEARN]` entries in `.claude/state/personal-memory.md` (gitignored) and run them through a five-critic council in parallel: generality, staleness, redundancy, evidence, format. Majority vote (3+ of 5) promotes the entry to MEMORY.md. Use…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Run the full R package release gate — regenerate docs, run the test suite, run R CMD check --as-cran, and triage every ERROR / WARNING / NOTE against CRAN policy before a release or submission. Use when the user says "check my R package", "R CMD check", "is…

原文の言語: 英語

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職業分類
データサイエンティスト
説明

Scaffold and run a reproducible Monte Carlo simulation study in R — parameterized DGP, an estimator grid, a seeded replication loop, and a summary of bias, RMSE, empirical SE, coverage, size/power with Monte Carlo standard errors. Use when the user says "run…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

End-to-end Stata replication pipeline — scaffolds numbered `.do` files in `scripts/stata/`, executes them via the `stata-mcp` MCP server, captures logs and outputs to `scripts/stata/_outputs/`, and produces publication-ready tables (esttab) and figures (graph…

原文の言語: 英語

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職業分類
その他コンピュータ職
説明

Distill the current conversation into a structured note (decisions made, open questions, file pointers with line numbers, next 1–3 actions) and save to `quality_reports/session_logs/` before auto-compression. Differs from `/checkpoint` (explicit stop-point…

原文の言語: 英語

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職業分類
編集者
説明

Read-only audit of `.tex`, `.qmd`, or `.md` text for AI-voice tells — boilerplate transitions ("Moreover", "Furthermore", "It is important to note that"), AI-cliché lexicon ("delve", "navigate the complexities", "tapestry", "robust framework"), em-dash…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Interactive interview that formalizes a fuzzy research idea into a structured spec (RQ, hypotheses, identification, data needs, empirical strategy). Use when user says "interview me", "help me think through this idea", "I have a half-baked idea", "formalize…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Save a structured state snapshot before stopping or handing off. Captures the active plan, recent decisions, file pointers (with line numbers), open questions, and the next 1–3 actions into a checkpoint file under `quality_reports/checkpoints/`. Optionally…

原文の言語: 英語

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職業分類
データサイエンティスト
説明

End-to-end R data analysis pipeline — exploration → cleaning → regression → publication-ready tables and figures. Use when user says "analyze this dataset", "run a regression on X", "explore this CSV", "full analysis workflow", "get me summary stats and a…

原文の言語: 英語

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職業分類
ソフトウェア開発者
説明

Extract reusable knowledge from the current session into a persistent skill. Use when you discover something non-obvious, create a workaround, or develop a multi-step workflow that future sessions would benefit from.

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Scaffold a new TikZ diagram from the snippet gallery with prevention rules pre-applied (explicit node dimensions, coordinate map, directional edge labels). Compiles standalone, invokes tikz-reviewer with citations from tikz-measurement.md, and loops on…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Generate structured research questions, testable hypotheses, and candidate empirical strategies from a topic, phenomenon, or dataset description. Use when user says "give me research ideas on X", "brainstorm questions about Y", "what could I study with this…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Structured literature search + synthesis with citation extraction, thematic clustering, and gap identification. Use when user says "find papers on X", "do a lit review", "what's the literature on...", "summarize what we know about...", "where's the gap in…

原文の言語: 英語

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職業分類
その他の高等教育教員
説明

Generate a structured response-to-referees document from a referee report and the revised manuscript. Maps each referee comment to the specific revision, classifies coverage (addressed / partially / deferred / disagreement), and drafts polite but firm…

原文の言語: 英語

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収集済み skill 51 件中 40 件を表示しています。