Use grant budget justification for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use poster layout planner for other workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use lab budget forecaster for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use preclinical pkpd analyst for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.

Monitor and summarize competitor clinical trial status changes from ClinicalTrials.gov.

> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

Calculate literature growth velocity and acceleration to assess research.

StatsPAI is the agent-native Python package for causal inference and applied econometrics. One `import statspai as sp`, 900+ functions, covering the complete empirical research workflow.

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Use when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis

orchestrator

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Slash commands are frequently-used prompts defined as Markdown files that Claude executes during interactive sessions. Understanding command structure, frontmatter options, and dynamic features enable

Plan reproducible ML experiment runs with parameters and metrics tracking

Checklist-driven academic English polishing and Chinglish correction

Implement user skill change requests with optimization pattern evaluation

Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.

1. [Purpose](#purpose)

This skill provides an AI-driven workflow for enhancing SRT subtitle files by comparing them with an original reference document (`origin.md`). The enhancement process corrects typos, standardizes pro

Status: Backlog

Produces a topic-segmented post-meeting summary for attendees with decisions highlighted and actions captured inline per topic (plus a consolidated action view at the end). Auto-populates topic skeleton from a sibling meeting-agenda when available and reconciles planned vs. actual topics. Accepts transcripts from Zoom, Meet, Otter, Fireflies, Krisp MCP, or manual notes; runs on variable-quality input without blocking.

Audits an existing pm-skills skill against structural conventions and quality criteria. Produces a structured validation report with pass/fail checks, severity-graded findings, and actionable recommendations. Use when checking whether a skill meets repo standards before shipping or after making changes.

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(project) Use when editing any file under plugins/hal-skills/ or plugins/hal-voice/ to bump the plugin version before committing

Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.

Watch subreddits for people describing the problem you solve. Score their relevance. Draft a helpful reply for each match.

Take a competitor's public GitHub repo. Fetch their open issues. Filter noise locally. Cluster into 6 demand categories. Score by real engagement. Output a ranked demand gap report and GTM messaging b

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Use when writing Go code that returns, wraps, or handles errors — choosing between sentinel errors, custom types, and fmt.Errorf (%w vs %v), structuring error flow, or deciding whether to log or return. Also use when propagating errors across package boundaries or using errors.Is/As, even if the user doesn't ask about error strategy. Does not cover panic/recover patterns (see go-defensive).

Use when deciding whether to use Go generics, writing generic functions or types, choosing constraints, or picking between type aliases and type definitions. Also use when a user is writing a utility function that could work with multiple types, even if they don't mention generics explicitly. Does not cover interface design without generics (see go-interfaces).

Interactive conversational setup wizard for instar. Walks users through initial configuration and identity bootstrapping conversationally.

Create atomic commits by staging the right files, analyzing the staged diff, composing a conventional commit message, and optionally pushing.

This skill should be run only when the user explicitly invokes it. Orchestrates end-to-end task implementation — understands the task, assesses complexity, implements directly or via a team of subagents for complex work, and always finishes with a code-polish pass.

A product leader trapped in back-to-back meetings faces a compounding problem: every meeting demands decisions, and every decision depletes a finite cognitive resource. The result is decision fatigue

**Organization:** B2B Analytics SaaS

**Title:** Q1 All-Hands: What We Shipped, What's Next, and Where We Need Help

**Prepared for:** Director of Product, 200-person fintech startup

- **Date type:** Fixed external deadline

Design employee onboarding (first 90 days + trajectory). See also: user-onboarding (product UX onboarding).

**Role:** Product Lead (IC/people-manager hybrid typical of product leadership)

Prioritize product roadmap: scoring model, ranked opportunities, decision narrative. See also: technical-roadmaps (engineering roadmap).

- **Product:** Team collaboration SaaS

**Decision statement (one sentence):**

Since the user did not provide answers to intake questions, the following explicit assumptions are made. Open questions that could change the ship decision are listed in Section 8.