1K skills · sorted by relevance
Build repeatable business reports from connected data sources or uploaded CSV and XLSX files. Define metrics and comparisons, check the calculations, deliver a concise summary and Excel workbook, and save the report definition for future or scheduled runs.
Diagnose cmux problems with read-only checks for command access, settings, hooks, notifications, and session restore. Interprets the results and prepares a support summary without exposing raw session data, prompt logs, tokens, or other secrets.
Prepare a first-pass review of incoming NDAs, or confidentiality agreements, against a team's standard positions. The skill saves the document, drafts suggested clause changes, and prepares a counsel summary without signing or sending anything.
Review new and spiking Sentry errors, rank their impact, and check for existing GitHub issues. Create triage issues for the highest-impact untracked errors and post a Slack summary, while leaving Sentry error states and assignments unchanged.
Apply over 240 reusable prompt templates to summarize content, extract insights, improve writing, review code, or analyze security threats. It reads each template directly and returns results in the format defined for that task.
Preserve a selected answer, decision, insight, or conversation summary as an Obsidian note. Check for duplicates, retain uncertainty, and preview the note together with related index and log updates before applying the reviewed changes.
Structure client intake for a legal clinic using practice-specific questions. Produce a case summary with issues across legal areas, potential conflicts of interest, urgency, verification prompts, and deadline handoffs for student analysis and supervisor review.
Turn due diligence findings, collected during a deal review, into briefings for executives, deal leads, or working teams. Highlight material issues, changes since the previous update, review progress, and decisions needed at the level each audience requires.
Turn an internal investigation report into a summary for HR, leadership, or outside counsel. Adjust detail for each audience, excluding legal analysis and attorney impressions from HR versions while retaining full context for outside counsel.
Look up existing predictions and protein information in the AlphaFold Protein Structure Database. Retrieve concise structure metadata, UniProt summaries, sequence summaries, and annotations, with an option to save the full response for later inspection.
Writes expert academic paper summaries for social science research, particularly political science and applied statistics. Use when asked to summarize, review, or create a reading summary of an academic paper, PDF, or research article. Accepts a file (PDF or text format) or a directory of papers. Produces a structured markdown summary — approximately 400–600 words — covering primary contributions, major questions and answers with point estimates, methods and data, and limitations and robustness. Includes BibTeX citation retrieved from Google Scholar and keyword metadata.
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Use when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness gauntlet — OR in epidemiology / public health style (target-trial emulation, IPTW + g-formula + TMLE triplet, Mendelian randomization, KM/AFT survival, E-value sensitivity, STROBE/TRIPOD reporting) — OR in ML causal inference style (DML, S/T/X/R/DR meta-learners, causal forest, Dragonnet/TARNet/CEVAE, BCF, CATE distribution, policy learning, conformal causal, fairness audit, causal discovery) — OR in distributional / gap-decomposition style (Oaxaca–Blinder `sp.oaxaca`, Kitagawa `sp.kitagawa_decompose`, DiNardo–Fortin–Lemieux `sp.dfl_decompose`, Gelbach `sp.gelbach`, Fairlie `sp.fairlie`, RIF / FFL `sp.rif_decomposition`, all reachable through the `sp.decompose` dispatcher). Also covers exporting multi-column regression tables to Word / Excel / LaTeX (Stata outreg2 / esttab / R modelsummary equivalent) and bundling an entire replication appendix into one .docx / .xlsx / .tex file. Triggers on keywords "StatsPAI", "statspai", "AER empirical analysis", "applied micro pipeline", "Table 1 balance", "event study", "first-stage F", "Oster bound", "honest_did", "spec_curve", "callaway_santanna", "dragonnet", "text as treatment", "outreg2 in Python", "regression table to Word/Excel", "sp.regtable", "sp.collect", "sp.paper_tables", "sp.feols", "summary_col", "modelsummary", "AER style table", "QJE style table", "epidemiology pipeline", "target trial emulation", "g-formula", "IPTW", "TMLE", "Mendelian randomization", "STROBE", "TRIPOD", "公共健康", "流行病学", "DML", "double machine learning", "causal forest", "meta-learner", "CATE", "conformal causal", "policy learning", "因果机器学习", "ML causal", "decomposition", "Oaxaca-Blinder", "Kitagawa", "DiNardo-Fortin-Lemieux", "DFL", "Gelbach", "RIF decomposition", "wage gap decomposition", "sp.decompose", "sp.oaxaca".
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Reads, queries, and writes bigWig indexed binary signal tracks (coverage, fold-change, conservation, methylation-rate) with pyBigWig (Python) and the UCSC Kent tools (bedGraphToBigWig, bigWigToBedGraph, bigWigInfo, bigWigSummary, bigWigAverageOverBed) and deepTools (multiBigwigSummary, computeMatrix, bigwigCompare). Covers the central trap that a wide query returns a precomputed zoom-level summary (by default the mean, which annihilates narrow peaks) not per-base data, when exact=True/values() is mandatory, the NaN-not-zero gap-handling fork, choosing mean vs max vs sum vs coverage by biological question, and the sorted-bedGraph plus chrom.sizes build requirement. Use when extracting signal at regions, computing mean signal per gene/peak, building a browser track from bedGraph, comparing tracks, or building TSS/gene-body metaprofiles.
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This skill should be used when user asks to "update PR summary", "update PR description", "rewrite PR body", "refresh PR title and body", or explicitly invokes "update-pr-summary".
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Use when onboarding someone to a finished milestone or preparing a team review. Reads ROADMAP, REQUIREMENTS, CONTEXT, SUMMARY, and VERIFICATION artifacts into one MILESTONE_SUMMARY in .planning/reports/, then offers Q&A.
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Produce a flow-level summary of the current Claude Code session — executive summary, chronological timeline, and outcomes — written into the active feature directory next to spec.md / plan.md.
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Produce a VAT / sales-tax summary for a period from a Well workspace's posted ledger. Use when the user asks for a VAT return, VAT summary, sales tax owed, output vs input VAT, or tax declaration figures for a period.
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Guides privacy audit report writing including executive summary drafting, findings classification (critical, high, medium, low), evidence referencing, root cause analysis documentation, recommendation formulation, management response tracking, and report distribution protocols. Covers report structure from scope definition through appendices and sign-off. Keywords: audit report, findings documentation, executive summary, recommendations, report structure, privacy audit deliverables.
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Plan, implement, or review pr draft summary work in an existing codebase with compatibility, security, and verification controls. Use when the user explicitly requests pr draft summary work.
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Generates structured summaries of U.S. insurance claim files covering identification, incident narrative, party positions, coverage analysis, and resolution status. Use when synthesizing claim files for adjusters, legal counsel, or claims managers during pre-filing review, discovery, or settlement preparation. Trigger keywords: claim summary, insurance claim, coverage summary, adjuster summary, coverage denial, reservation of rights.
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Generates a structured initial contact summary memorandum from a potential client's first interaction with the firm. Captures case facts, liability indicators, damages, insurance details, and screening criteria. Use during client intake to support conflict checks, case evaluation, and engagement decisions.
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Retrieves and analyzes FHIR Coverage and Organization resources to produce a structured insurance summary with coordination of benefits analysis. Use when user asks to "check insurance", "coverage details", "verify coverage", "insurance summary", "what plan is the patient on", "primary vs secondary insurance", or "coverage status". Do NOT use for clinical data, demographics beyond insurance, or billing claim submission.
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Run the oncall handoff for a rotation window — the whole handoff, not just a document: build the summary (what the incoming oncall needs first, what's still open, incidents with impact numbers, alert and page counts, hygiene suggestions, every number traceable to a source), post it for the outgoing oncall to correct, walk the incoming oncall through the open items in the thread, update the list as they respond, and note when they acknowledge. Runs mainly in the team's standing oncall / monitoring channel, normally as a scheduled routine firing at rotation change so the report is waiting when the shift turns over; can also be run by hand and works from an incident channel. Use when a handoff routine fires, or on "handoff", "hand over", "oncall summary", "weekly oncall report", "what happened this shift / this week". Re-running for the same window updates the report rather than duplicating it. Unattended runs carry a run-summary block and at least one chart.
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Writes expert academic paper summaries for social science research, particularly political science and applied statistics. Use when asked to summarize, review, or create a reading summary of an academic paper, PDF, or research article. Accepts a file (PDF or text format) or a directory of papers. Produces a structured markdown summary — approximately 400–600 words — covering primary contributions, major questions and answers with point estimates, methods and data, and limitations and robustness. Includes BibTeX citation retrieved from Google Scholar and keyword metadata.
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