ToolJet Marketplace Plugin Builder
ToolJet/ToolJet
Turns an API description, such as an OpenAPI file or a Postman collection, into a connector plugin for ToolJet's marketplace and checks it with the repo's validator.
A skill your agent uses when Wingman memory is already known enabled in the current repository and starting non-trivial coding, debugging, planning, review, API integration, or business-logic work…
$ npx skills add hashgraph-online/awesome-codex-plugins --skill memory-load -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins memory-load --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/lsshym/wingman.ai/skills/memory-load .claude/skills/memory-load && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "memory-load" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/lsshym/wingman.ai/skills/memory-load into .claude/skills/memory-load/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/lsshym/wingman.ai/skills/memory-loadType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill memory-load -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins memory-load --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/lsshym/wingman.ai/skills/memory-load .agents/skills/memory-load && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "memory-load" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/lsshym/wingman.ai/skills/memory-load into .agents/skills/memory-load/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill memory-load -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins memory-load --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/lsshym/wingman.ai/skills/memory-load .cursor/skills/memory-load && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "memory-load" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/lsshym/wingman.ai/skills/memory-load into .cursor/skills/memory-load/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/lsshym/wingman.ai/skills/memory-load--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill memory-load -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins memory-load --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/lsshym/wingman.ai/skills/memory-load .gemini/skills/memory-load && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "memory-load" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/lsshym/wingman.ai/skills/memory-load into .gemini/skills/memory-load/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins memory-loadInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill memory-load -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/lsshym/wingman.ai/skills/memory-load .github/skills/memory-load && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "memory-load" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/lsshym/wingman.ai/skills/memory-load into .github/skills/memory-load/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill memory-load -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins memory-load --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/lsshym/wingman.ai/skills/memory-load .opencode/skills/memory-load && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "memory-load" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/lsshym/wingman.ai/skills/memory-load into .opencode/skills/memory-load/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "memory-load", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
memory-loadA skill your agent uses when Wingman memory is already known enabled in the current repository and starting non-trivial coding, debugging, planning, review, API integration, or business-logic work…
Memory Load is an agent skill from hashgraph-online/awesome-codex-plugins. Use when Wingman memory is already known enabled in the current repository and starting non-trivial coding, debugging, planning, review, API integration, or business-logic work, or when the user explicitly asks to load or read Wingman memory.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering Third-party API integration. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Memory Load loads about 1.7k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 908 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 908 words, ~1,740 tokens.
.claude/skills/memory-load/SKILL.md (or your agent's skills folder).memory-load is read-only. It loads current truth by default and history only when the task needs explanation or past-change context.
Use .wingman/memory/ as the repository-local memory root.
Repository memory is enabled only when both core entry files exist:
.wingman/memory/brief.md
.wingman/memory/context.mdIf .wingman/memory/ is missing, continue without memory unless the user explicitly asked about memory. If the directory exists but a core entry file is missing, report partial memory only when the user asked about memory or the task depends on memory consistency.
Use this authority order when memory files disagree:
brief.md current Project Decisions
> domains/ current truths
> context.md hot working state
> history/ past events and evidenceHistory explains why something changed. It is not current truth unless a current entry in brief.md or domains/ links to it as evidence.
Only Status: current current-truth entries are binding. candidate, deprecated, and superseded entries are background only.
Relations:
updates <id> replaces the referenced entry for overlapping scope.extends <id> keeps both entries valid when compatible.derived_from <id-or-path> records evidence lineage, not authority.If two current entries with the same Subject conflict and no relation resolves them, stop and ask which rule is valid.
Skip memory for trivial isolated work: typo-only edits, formatting, isolated style tweaks, throwaway experiments, or local changes with no business, state, data, contract, reuse, or existing-behavior impact.
Load memory before non-trivial coding, debugging, planning, review, refactor, API integration, reusable implementation work, or changes touching business logic, state flow, permissions, quotas, billing, field mappings, contracts, or existing behavior.
Also load memory when the user mentions previous work, consistency, "之前", "上次", "沿用", "保持一致", "不要破坏", or asks to use memory.
.wingman/memory/brief.md.domains/ files..wingman/memory/context.md only for hot task state and direct pointers.For folder domains, read the folder index.md first, then only the relevant subfiles named by that index. Do not read every domain subfile by default.
The Domain Registry in brief.md is a routing table:
| Domain | Read When | Current File | History Domain Index | History Topics | Aliases | Related Domains | Status |Current File points to current truth.History Domain Index and History Topics point to historical lookup indexes.Related Domains are hints, not automatic expansion.Read a current domain when the task matches Domain, Read When, or Aliases. Read related domains only when the task also touches that related area or the current domain file points to a specific related rule.
context.md is a hot cache. Read it for:
Treat context pointers as routing hints. If a pointer names a current truth, read that truth. If it names a history event, read the event only when Historical-Risk Signals are present or the pointer is directly needed for the task.
Read history projections only when at least one signal is present:
When history is needed, prefer sources in this order:
history/topics/<topic>.md.history/domains/<domain>.md.history/months/YYYY-MM.md for date questions.history/index.md when projection routing is unclear or the user asks broadly.Choose only the strongest 0-3 event bodies for the current task unless the user asks for deeper history.
Do not scan history/events/ directly by default.
Before editing code, internally confirm:
Do not show the checklist by default. Surface it only when there is a conflict, missing context, or the user asks.
memory-load may notice memory pressure but must not clean, compact, summarize, promote, or delete memory.
Mention cleanup only when a concrete candidate affects the task:
context.md contains durable rule bodies instead of pointers;brief.md, domains/, or history/events/;Suggest explicit memory-clean later. If a conflict blocks correct work, ask the user which rule is valid.
// @invariant: comments as local binding context when present.memory-load is read-only; new comments or memory updates belong to the relevant coding task or memory-sync.project-map-find; do not read project-map files during memory-load unless the user explicitly asks for project-map context.© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/lsshym/wingman.ai/skills/memory-load of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 78497e5
Memory Load next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Memory Load this skillhashgraph-online/awesome-codex-plugins | 1.2k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| ToolJet Marketplace Plugin BuilderToolJet/ToolJet | 41k | — | ~2.1k | Automated safety check: Pass | AGPL-3.0 | |
| WxJava API Contributorbinarywang/WxJava | 33k | — | ~154 | Automated safety check: Pass | Apache-2.0 | |
| Dominion Addon DevLunaDeerMC/Dominion | 134 | — | ~2.6k | Automated safety check: Pass | MIT | |
| fp-go HTTP Client PatternsIBM/fp-go | 2k | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| Read The Damn DocsBuilderIO/skills | 4.5k | — | ~1.8k | Automated safety check: Pass | MIT |
ToolJet/ToolJet
Turns an API description, such as an OpenAPI file or a Postman collection, into a connector plugin for ToolJet's marketplace and checks it with the repo's validator.
binarywang/WxJava
Steps for adding or maintaining a WeChat official API in the WxJava SDK, following its Maven multi-module layout, Java 8 compatibility and TestNG test conventions.
LunaDeerMC/Dominion
Develop Dominion addon plugins using the DominionAPI. An agent skill from LunaDeerMC/Dominion.
IBM/fp-go
Shows how to build composable, context-aware HTTP pipelines in Go using fp-go's ReaderIOResult monad instead of raw net/http calls.
BuilderIO/skills
A skill your agent uses when implementing, integrating, upgrading, debugging, or answering anything involving third-party APIs, libraries, frameworks, CLIs, cloud services, model/provider SDKs…
Aiko-IT-Systems/DisCatSharp
Helps build, explain and troubleshoot C# Discord apps on DisCatSharp, answering from the project's installed version and the library's documentation rather than guesses.
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
hashgraph-online/awesome-codex-plugins
Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…
Categories
A skill your agent uses when Wingman memory is already known enabled in the current repository and starting non-trivial coding, debugging, planning, review, API integration, or business-logic work…. Memory Load is an agent skill from hashgraph-online/awesome-codex-plugins. Use when Wingman memory is already known enabled in the current repository and starting non-trivial coding, debugging, planning, review, API integration, or business-logic work, or when the user explicitly asks to load or read Wingman memory.
Memory Load fits situations like: wingman memory is already known enabled in the current repository and starting non-trivial coding; API integration; business-logic work; the user explicitly asks to load.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill memory-load -a claude-code`. Or copy the skill folder (plugins/lsshym/wingman.ai/skills/memory-load in hashgraph-online/awesome-codex-plugins) into .claude/skills/memory-load in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill memory-load -a codex`. Or copy the skill folder (plugins/lsshym/wingman.ai/skills/memory-load in hashgraph-online/awesome-codex-plugins) into .agents/skills/memory-load in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill memory-load -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory-load, .gemini/skills/memory-load, .github/skills/memory-load and .opencode/skills/memory-load in your project.
SKILL.md names no scripts, command-line tools or credentials: Memory Load is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Memory Load is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Memory Load: ToolJet Marketplace Plugin Builder (ToolJet/ToolJet, 41k stars), WxJava API Contributor (binarywang/WxJava, 33k stars), Dominion Addon Dev (LunaDeerMC/Dominion, 134 stars) and fp-go HTTP Client Patterns (IBM/fp-go, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.