Loading...
Loading...
Found 1,141 Skills
Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases. Triggers on: new/empty project setup for AI agents, AGENTS.md or CLAUDE.md creation, harness engineering questions, making agents work better on a codebase. ALSO triggers when users are frustrated or complaining about agent quality — e.g. 'the agent keeps ignoring conventions', 'it never follows instructions', 'why does it keep doing X', 'the agent is broken' — because poor agent output almost always signals harness gaps, not model problems. Covers: context engineering, architectural constraints, multi-agent coordination, evaluation, long-running agent harness, and diagnosis of agent quality issues.
Analyze real estate and infrastructure investments including REITs, direct property valuation, and infrastructure assets. Use when the user asks about real estate investing, REITs, cap rates, NOI, FFO, AFFO, property valuation, or infrastructure investments. Also trigger when users mention 'rental property analysis', 'cash-on-cash return', 'gross rent multiplier', 'REIT dividends', 'real estate sectors', 'cell towers', 'toll roads', 'LTV ratio', 'DSCR', or ask whether to invest in real estate directly or through REITs.
Writes graduate admissions CVs and resumes for master's, PhD, and study abroad applications from OfferClaw. Covers education, research, internships, publications, and awards. Supports PDF export. Use when asked to create, rewrite, polish, or tailor an admissions CV or resume for university application.
Writes recommendation letters for graduate school applications (master's, PhD, study abroad) from OfferClaw. Matches recommender voice, highlights student research and achievements, and tailors emphasis to target programs. Use when asked to draft, rewrite, or refine a letter of recommendation for university admission.
Multi-perspective dialectical reasoning with cross-evaluative synthesis. Spawns parallel evaluative lenses (STRUCTURAL, EVIDENTIAL, SCOPE, ADVERSARIAL, PRAGMATIC) that critique thesis AND critique each other's critiques, producing N-squared evaluation matrix before recursive aggregation. Triggers on /critique, /dialectic, /crosseval, requests for thorough analysis, stress-testing arguments, or finding weaknesses. Implements Hegelian refinement enhanced with interleaved multi-domain evaluation and convergent synthesis.
Prevents sycophantic reasoning through checklist-based analysis, categorical integrity, and evidence-following to uncomfortable conclusions. Red Flags: "I agree that", "You are right", "Great point", "Absolutely", "That is a fair point", "I can see why", agreement without validation, softening conclusions, hedging without evidence, retracting under pressure. Use when analyzing conflicts, evaluating ethical claims, or noticing sycophantic thought patterns. Do not use for routine implementation or simple factual questions. CRITICAL: This skill overrides conversational tendencies toward politeness. Agreement requires validity and accuracy.
Deep research expert for comprehensive technical investigations. Use when conducting technology evaluations, comparing solutions, analyzing papers, or exploring technical trends.
Core visual design principles that underpin all great design. Master gestalt psychology, visual hierarchy, composition, color theory, and typography fundamentals. Use when making design decisions or evaluating designs against proven principles.
Analyze multi-round evaluation score data, count various indicators, and calculate rating levels. Suitable for analyzing score trends and calculating S/A/B ratings
Plan and (when feasible) implement or execute user acceptance tests (UAT) / end-to-end acceptance scenarios. Converts requirements or user stories into acceptance criteria, test cases, test data, and a sign-off checklist; suggests automation (Playwright/Cypress for web, golden/snapshot tests for CLIs/APIs). Use when validating user-visible behavior for a release, or mapping requirements to acceptance coverage.
This skill should be used when the user asks to review, proofread, check, or evaluate content. It provides comprehensive text review (grammar, logic, compliance) and version evaluation (A/B testing, comparison analysis). Text review automatically adds AI disclaimer at the end.
Evaluate skill quality against best practices. Use when asked to "rate this skill", "review skill quality", "check skill formatting", "is this skill good", "evaluate SKILL.md", "grade this skill", or when validating skill files before publishing.