GitHub organization
Agent skills by hashgraph-online, page 3
Skills by hashgraph-online, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | Apply locus of control — the design choice between making the system appear to act on the user's behalf (external locus) and making the user appear to direct the system (internal locus). | hashgraph-online/ | 1.3k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | today |
| 98 | Apply layered control — designing interfaces that serve novice and expert users in the same product without forcing one audience into the other's interface. | hashgraph-online/ | 1.3k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | today |
| 99 | 99.Cuar A skill your agent uses whenever the user invokes or mentions CUAR, asks whether an unscheduled Codex reset happened, asks whether CUAR reminder tooling is unavailable, or asks whether a CUAR… | hashgraph-online/ | 1.3k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | today |
| 100 | 100.Data Contracts A skill your agent uses when source data and receiving code may disagree on fields, shape, optionality, enum values, or business meaning. | hashgraph-online/ | 1.3k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 101 | Establish or update persistent product and visual design guidance in .design-context.md. | hashgraph-online/ | 1.3k | — | ~1k | Automated safety check: Pass | Apache-2.0 | today |
| 102 | 102.Dev Grill Docs Clarify feature requirements, pressure-test scope and domain terms, and produce a feature spec before implementation. | hashgraph-online/ | 1.3k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 103 | Implement a frontend from a UI screenshot or design image in an existing project or a runnable standalone page. | hashgraph-online/ | 1.3k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 104 | 104.Dev Plan Create a concrete implementation plan from a spec or clearly scoped request before coding. | hashgraph-online/ | 1.3k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 105 | Safely parallelize Django and pytest-django test suites with Django --parallel, pytest-xdist, test isolation checks, randomized order detection, shared-resource sharding, locks, and load balancing. | hashgraph-online/ | 1.3k | — | ~961 | Automated safety check: Pass | MIT | today |
| 106 | Improve slow Django test suites through measured profiling, safe test settings, database and migration tuning, parallel execution, test-data cleanup, and CI workflow changes. | hashgraph-online/ | 1.3k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 107 | Profile and measure slow Django test suites with Django's runner, pytest-django, shell timing, py-spy, cProfile, pytest durations, and profiler visualizations. | hashgraph-online/ | 1.3k | — | ~892 | Automated safety check: Pass | MIT | today |
| 108 | 108.Errors A skill your agent uses whenever a design must accommodate the inevitability of human error — typos, wrong-button presses, misread instructions, mistimed actions, misunderstandings of system state. | hashgraph-online/ | 1.3k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | today |
| 109 | 109.Errors Mistakes A skill your agent uses when designing to prevent errors of intention — wrong actions taken because the user's model of the situation was wrong. | hashgraph-online/ | 1.3k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 110 | 110.Errors Slips A skill your agent uses when designing to prevent or recover from execution errors — actions that don't match the user's intent. | hashgraph-online/ | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 111 | Apply in-product expectation cues — typography, animation, spacing, copy tone, micro-interactions, and visual register that signal "this is the kind of product you're using" within seconds of… | hashgraph-online/ | 1.3k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | today |
| 112 | Apply expectation priming — deliberately shaping the prior context (brand, marketing, price, social proof, recommendations) that users bring to a product before they ever touch it. | hashgraph-online/ | 1.3k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 113 | Improve experiment sensitivity and reduce traffic or duration requirements. | hashgraph-online/ | 1.3k | — | ~814 | Automated safety check: Pass | MIT | today |
| 114 | Choose the right product experiment type: superiority, non-inferiority, equivalence, A/B/n, or holdback-backed validation. | hashgraph-online/ | 1.3k | — | ~841 | Automated safety check: Pass | MIT | today |
| 115 | Verify and monitor running experiments for operational quality. | hashgraph-online/ | 1.3k | — | ~771 | Automated safety check: Pass | MIT | today |
| 116 | Roll out an experimentation-friendly culture across product, engineering, data, and leadership teams. | hashgraph-online/ | 1.3k | — | ~802 | Automated safety check: Pass | MIT | today |
| 117 | Prioritize an experimentation platform roadmap across rate, quality, cost, usability, process, infrastructure, and advanced methods. | hashgraph-online/ | 1.3k | — | ~825 | Automated safety check: Pass | MIT | today |
| 118 | Plan experiment throughput strategies for mature A/B testing programs. | hashgraph-online/ | 1.3k | — | ~913 | Automated safety check: Pass | MIT | today |
| 119 | 119.Exposure Effect Apply the Exposure Effect (mere-exposure effect) — the well-documented finding that repeated exposure to something tends to increase liking for it. | hashgraph-online/ | 1.3k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 120 | Use the exposure effect deliberately in onboarding and habit formation — getting users to repeated, low-friction encounters with the product so familiarity builds and preference forms. | hashgraph-online/ | 1.3k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 121 | Manage the risks of redesigns when users have built up exposure-based preference for the existing design. | hashgraph-online/ | 1.3k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | today |
| 122 | 122.Factor Of Safety A skill your agent uses whenever the design will encounter conditions that can't be fully predicted at design time — load spikes, edge-case content, real-world variability, hardware variation… | hashgraph-online/ | 1.3k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | today |
| 123 | A skill your agent uses when designing UI to survive content extremes — long names, big numbers, multi-line addresses, missing images, internationalized strings, dense data. | hashgraph-online/ | 1.3k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 124 | A skill your agent uses when planning capacity, redundancy, graceful degradation, or recovery for systems that must keep working under stress — performance budgets, dependency failure handling… | hashgraph-online/ | 1.3k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 125 | 125.Feedback Loop A skill your agent uses whenever a user takes an action and the system must communicate that the action was received, is in progress, succeeded, or failed. | hashgraph-online/ | 1.3k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | today |
| 126 | A skill your agent uses when designing the visible states an interactive element passes through (idle / pending / success / error) and matching feedback timing to the user's perceptual thresholds. | hashgraph-online/ | 1.3k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 127 | 127.Figma Click Flow Draws a click-flow overlay on a section of laid-out Figma screens for static handoff: a dot on each clickable element, an elbow line with rounded corners and an open arrow at the destination screen. | hashgraph-online/ | 1.3k | — | ~3.9k | Automated safety check: Pass | MIT | today |
| 128 | Apply specific visual cues to control figure-ground perception — shadow, elevation, scale, contrast, saturation, opacity, and texture. | hashgraph-online/ | 1.3k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 129 | Apply figure-ground separation specifically for overlays — modals, dialogs, drawers, popovers, dropdowns, toasts. | hashgraph-online/ | 1.3k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | today |
| 130 | Apply the Gestalt principle of Figure-Ground Relationship — the perceptual separation of what's perceived as the figure (the focus, the object) from the ground (the surrounding context). | hashgraph-online/ | 1.3k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 131 | 131.Fitts Law A skill your agent uses whenever the question involves how easy it is to hit an interactive target — buttons, links, form controls, drag handles, scrollbars, mobile tap targets, anything the user… | hashgraph-online/ | 1.3k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | today |
| 132 | A skill your agent uses when the question involves cursor speed, pointer acceleration curves, or interaction with input devices that vary in precision (mouse, trackpad, stylus, touchscreen… | hashgraph-online/ | 1.3k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 133 | A skill your agent uses when designing for the edges and corners of the screen — where the cursor cannot overshoot, making them effectively infinite-sized targets along one axis. | hashgraph-online/ | 1.3k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | today |
| 134 | A skill your agent uses when designing for touch — phones, tablets, kiosks, in-car displays, smart-TV remotes, anything where the input is a finger or thumb rather than a precise pointer. | hashgraph-online/ | 1.3k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | today |
| 135 | 135.Forgiveness A skill your agent uses whenever a design lets users do something they might regret — delete, send, publish, charge, transfer, archive, overwrite, irrecoverably commit. | hashgraph-online/ | 1.3k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | today |
| 136 | A skill your agent uses when the user must commit to an irreversible or high-stakes action and reversibility isn't enough — confirmation dialogs, type-to-confirm patterns, password re-entry… | hashgraph-online/ | 1.3k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 137 | A skill your agent uses when designing reversibility — undo systems, soft delete, archive-with-recovery, version history, "Undo Send" patterns, and any mechanism that lets a user step back from an… | hashgraph-online/ | 1.3k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 138 | A skill your agent uses when designing the visual or aesthetic layer of a product, deciding between expressive style and functional restraint, evaluating decorative elements, or arguing about… | hashgraph-online/ | 1.3k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | today |
| 139 | A skill your agent uses when applying the descriptive form-follows-function interpretation — functional clarity as a source of aesthetic quality. | hashgraph-online/ | 1.3k | — | ~765 | Automated safety check: Pass | Apache-2.0 | today |
| 140 | A skill your agent uses when the team is in a form-vs-function debate and needs to step back to define what "success" actually means for the design. | hashgraph-online/ | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 141 | Apply the Gestalt principle of Similarity — elements that share visual attributes (color, shape, size, orientation) are perceived as belonging together, regardless of their physical proximity. | hashgraph-online/ | 1.3k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 142 | 142.Hermes Tweet Use Xquik in Hermes Agent for public X research, monitoring, thread summaries, creator discovery & approved actions. | hashgraph-online/ | 1.3k | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 143 | 143.Hicks Law A skill your agent uses whenever a design has many options the user must choose among — menus, navigation, pickers, plan tiers, settings panels, action toolbars, lists of templates, anything that… | hashgraph-online/ | 1.3k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 | today |
| 144 | A skill your agent uses when the question is what to pre-select in a list of options — radio groups, dropdowns, configuration UIs, plan pickers, sign-up flows, settings. | hashgraph-online/ | 1.3k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
