LangGraph Decision Models
langchain-ai/langchain-skills
Routes LangGraph agents with typed decision models that return probabilities, and finds LLM calls that only exist to produce a routing decision.
Build multimodal AI apps with Pixeltable. An agent skill from hashgraph-online/awesome-codex-plugins.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill pixeltable -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins pixeltable --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/pixeltable/pixeltable-skill/skills/pixeltable-skill .claude/skills/pixeltable && 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 "pixeltable" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill into .claude/skills/pixeltable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixeltable", 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/pixeltable/pixeltable-skill/skills/pixeltable-skillType 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 pixeltable -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins pixeltable --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/pixeltable/pixeltable-skill/skills/pixeltable-skill .agents/skills/pixeltable && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pixeltable" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill into .agents/skills/pixeltable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixeltable", 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 pixeltable -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins pixeltable --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/pixeltable/pixeltable-skill/skills/pixeltable-skill .cursor/skills/pixeltable && 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 "pixeltable" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill into .cursor/skills/pixeltable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixeltable", 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/pixeltable/pixeltable-skill/skills/pixeltable-skill--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 pixeltable -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins pixeltable --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/pixeltable/pixeltable-skill/skills/pixeltable-skill .gemini/skills/pixeltable && 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 "pixeltable" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill into .gemini/skills/pixeltable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixeltable", 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 pixeltableInstalls 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 pixeltable -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/pixeltable/pixeltable-skill/skills/pixeltable-skill .github/skills/pixeltable && 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 "pixeltable" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill into .github/skills/pixeltable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixeltable", 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 pixeltable -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 pixeltable --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/pixeltable/pixeltable-skill/skills/pixeltable-skill .opencode/skills/pixeltable && 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 "pixeltable" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill into .opencode/skills/pixeltable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pixeltable", 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.
pixeltableBuild multimodal AI apps with Pixeltable. An agent skill from hashgraph-online/awesome-codex-plugins.
Pixeltable is an agent skill from hashgraph-online/awesome-codex-plugins. Build multimodal AI apps with Pixeltable. One application file (app.py) declares TableModel tables and FastAPIRouter routes. Create tables with pxt schema update. Start HTTP with pxt service update. Insert a row or POST to try the app. Use computed columns instead of LangChain, pandas-as-store, or a separate vector DB. Use when building RAG or tool-calling agents, processing images/video/audio/documents, or serving an API. Do NOT use for general Python or direct PostgreSQL administration.
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `agents/openai.yaml`, `references/anti-patterns.md` and `references/cli.md`).
It sits in AI & LLM Engineering, covering Building AI agents, DataFrames and Structured output and tool calling. It works with pandas, LangChain, Python and PostgreSQL. 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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9e7b281. 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.
Shell commands in SKILL.md call:
pippythonFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.pixeltable.comgithub.compixeltable.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENAI_API_KEYPIXELTABLE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pixeltable loads about 3.3k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 126 tokens; SKILL.md has 1,058 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 9e7b281, republished under its Apache-2.0 licence (© hashgraph-online). 1,058 words, ~3,334 tokens.
.claude/skills/pixeltable/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.If you find yourself importing any of these, you are off-path:
document_splitter. Search is .similarity(). Tools are pxt.tools() + invoke_tools()..collect().to_pandas() is export only.for row in ...: loops calling models. Wrap the call in a computed column.__indexes__ = [pxt.EmbeddingIndex(...)] on the model. In a notebook, t.add_embedding_index(col, embedding=fn). Search with .similarity(string=query).while not done: agent loops. Insert a row. The computed-column chain runs.See anti-patterns.md (6 macros).
One application file (app.py) is the backend.
pxt schema update: creates tables from TableModel classes. Does not start HTTP..select(), pxt dashboard, or pxt schema diff. Compute runs on insert. After pxt service update, curl POST.pxt service update: starts HTTP (local or pxt://). pxt service list prints the URL. This is the serving command; do not reach for pxt service run.First run: Quickstart. Why: Why Pixeltable.
pip install 'pixeltable[serve]' # Python 3.11+
pxt init
pxt service example --out app.py
pxt schema check app.py # validates the file; warns if 'app' is shadowed
pxt schema update app.py my_app
pxt service update app.py my_app -f # no TTY: without -f a pending start exits 3
pxt service list # assigned port; do not hard-code :8000pxt service example writes models plus a FastAPIRouter. Schema only (no HTTP): pxt schema example --brief --out app.py. Then edit app.py and run pxt schema update again. After a schema change, run pxt service update ... -f again if routes exist; until then they answer 409. Do not python app.py. Full flags: cli.md.
The last argument (my_app, or pxt://org:db on Cloud) is a catalog directory, not a folder on disk. pxt init marks the project root. Local handle: pxt.get_table('my_app.docs'), or bind the models: import app; app.TableModel.bind_all('my_app'), then app.Docs.insert(...) / app.Docs.select(...).collect(). Inspect: pxt ls -l, pxt errors my_app/docs, pxt dashboard.
Provider keys (OPENAI_API_KEY, ...) come from the environment or ~/.pixeltable/config.toml, and the pxt daemon reads both once, at startup; local services get them from the daemon. After changing either, run pxt daemon restart (every command answers 409 until you do), then pxt service restart my_app/ingest.
Same file on Cloud: add [[pixeltable.database]] with name = 'pxt://org:db' to pixeltable.toml, then:
pxt login # browser sign-in; or export PIXELTABLE_API_KEY, which wins
pxt db update pxt://org:db -f # project files, image, workers; not secrets, rows, or HTTP
pxt schema update app.py pxt://org:db -f
pxt service update app.py pxt://org:db -fProvider keys on Cloud: pxt secret set pxt://org OPENAI_API_KEY=..., never in pixeltable.toml. Cloud handle: pxt.get_table('pxt://org:db/docs'). Media goes to the database's managed home bucket unless a column sets destination=. Try the app with a dashboard insert plus pxt schema diff; read failures with pxt service logs / pxt db logs.
pxt service example --out app.py writes this shape. Edit it. Then pxt schema update app.py my_app.
import pixeltable as pxt
import pixeltable.functions as pxtf
from pixeltable.serving import FastAPIRouter
TableModel = pxt.model_base()
@pxt.udf
def excerpt(text: str, n: int = 12) -> str:
return text if len(text) <= n else f'{text[:n]}...'
class Docs(TableModel, name='docs'):
id = pxt.Column(value=pxtf.uuid.uuid7(), primary_key=True)
title: pxt.String
body: pxt.String | None
title_upper = pxtf.string.upper(title)
summary = excerpt(title)
ingest = FastAPIRouter(name='ingest')
ingest.add_insert_route(
Docs, path='/docs', inputs=[Docs.title, Docs.body],
outputs=[Docs.id, Docs.title_upper, Docs.summary],
)
ingest.add_update_route(
Docs, path='/docs/update', inputs=[Docs.title],
outputs=[Docs.id, Docs.title_upper],
)
ingest.add_compute_route(Docs, path='/titles', inputs=[Docs.title], outputs=[Docs.title_upper])Annotation is a stored column. Assignment is a computed column. Optional is T | None. Primary key is pxt.Column(..., primary_key=True); add_update_route matches rows by it, so the request body carries id even though inputs does not list it. Indexes on the model: __indexes__ = [pxt.EmbeddingIndex(...)].
Already have FastAPI: after schema update, ingest.bind('my_app') then app.include_router(ingest). Or define the fastapi.FastAPI object in app.py and include_router() each router there; pxt service update then serves that one application. Call pxt.get_table() inside custom handlers. workflows.md.
RAG, views, and search: workflows.md. Do not add Hugging Face or spaCy unless the user asked.
app.py + pxt schema update + pxt service update. Indexes on the model.pxt.create_table(), add_computed_column(), add_embedding_index(). The appendix below uses that form.| Need | Open |
|---|---|
pxt schema, pxt service, inspect | cli.md |
| Types, views, UDFs, UDAs, tool calling | core-api.md |
| Provider import, arguments, and output shape | providers.md |
| Serving, FastAPIRouter, routes | workflows.md |
| Wrong stack | anti-patterns.md |
Add video, audio, agents, or a UI by editing app.py. A view is either a filter (base=Docs.where(...)) or an iterator (frame_iterator, audio_splitter, document_splitter, video_splitter, string_splitter, list_iterator, tile_iterator). Check pixeltable.functions before writing a UDF. Start from pxt service example or pxt schema example. Do not invent a second pxt schema update path.
| Wrong | Correct |
|---|---|
openai.vision(...) | Deprecated (the only deprecated function in pixeltable.functions). Use chat_completions with image_url, or responses |
from pixeltable.iterators import ... | The whole pixeltable.iterators package is a deprecated shim (FrameIterator, VideoSplitter, DocumentSplitter, StringSplitter, AudioSplitter, TileIterator). Import the function from pixeltable.functions.* -- e.g. from pixeltable.functions.video import frame_iterator |
similarity(query) | similarity(string=query). Also image= / audio= / video= / document= / vector=; idx= picks among several indexes on one column |
Re-run with if_exists='ignore' to fix logic | App: edit the expression, pxt schema update, then pxt recompute my_app/docs summary -f: the update keeps the old values. Notebook: t.alter_computed_column(summary=...), which recomputes it and its dependents |
Change a column's type in place (T to T | None, stored to computed, stored=) | UNSUPPORTED: the whole update applies nothing, and --allow-destructive does not help. A computed column: rename it (one --allow-destructive -f pass). A stored column: renaming drops its data, so declare T | None up front |
t.summary_errortype | t.summary.errortype / t.summary.errormsg, on stored computed or media columns. t.<col>.fileurl / .localpath for media |
pxt.Required[pxt.String] | Non-nullable by default. Optional: T | None |
@pxt.udf def f(x: str) fed a nullable column | A non-nullable parameter that receives None skips the call: the cell is None and errormsg is empty. Annotate x: str | None and handle None in the body |
whisper.load_model(...) inside a UDF body | Weights reload on every row. Use the shipped wrapper (pxtf.whisper.transcribe, clip.using(...)), or a module-scope cached loader |
recompute_columns(columns=['summary']) | t.recompute_columns('summary', errors_only=True) |
| TOML routes or a retired serve CLI | FastAPIRouter + pxt schema update + pxt service update |
add_embedding_index() in app.py | __indexes__ on the TableModel. Note the DSL names an index name=, the SDK idx_name= |
make_video(order_by=...) / stitch_tiles(order_by=...) | Both are requires_order_by UDAs: the ordering expression is the first positional argument -- make_video(t.pos, t.frame, fps=25). order_by= raises |
pxt.create_table() / get_table() at import in app.py | TableModel + pxt schema update. Import must not mutate the catalog |
EmbeddingIndex(frame, image_embed=clip) | embedding=clip (covers text and image). Or both string_embed= and image_embed=. image_embed= alone cannot answer similarity(string=...) |
uuid.astype(pxt.String) | uuid.to_string() (from pixeltable.functions.uuid import to_string). astype does not cast UUID to String |
json_col.astype(pxt.String) on a dict or list | Fails at insert: Expected string, got dict. Serialize with pxtf.json.dumps(json_col) |
Extract the field (.text, .choices[0].message.content). The field is Json holding a string: .astype(pxt.String) it before concatenating or embedding.
import pixeltable as pxt
pxt.create_dir('my_project', if_exists='ignore')
t = pxt.create_table('my_project.documents', {
'title': pxt.String,
'content': pxt.String,
'image': pxt.Image,
'video': pxt.Video,
'audio': pxt.Audio,
'doc': pxt.Document,
}, if_exists='ignore')Types are non-nullable by default. Optional is T | None. Do not use pxt.Required.
from pixeltable.functions.uuid import uuid7
t = pxt.create_table('my_project.items', {
'content': pxt.String,
'uuid': uuid7(),
}, primary_key=['uuid'], if_exists='ignore')Insert: t.insert([{...}]). Computed column:
from pixeltable.functions.openai import chat_completions
t.add_computed_column(
summary=chat_completions(
messages=[{'role': 'user', 'content': t.content}],
model='gpt-4o-mini',
).choices[0].message.content,
if_exists='ignore',
)Views: document_splitter, frame_iterator (from pixeltable.functions.video), string_splitter, audio_splitter. Notebook indexes: t.add_embedding_index('content', embedding=embed_fn, if_exists='ignore').
Query: t.where(...).select(...).collect(). Similarity: t.content.similarity(string=query). In @pxt.query, alias as score=sim.
UDFs are recorded as a module path relative to the project root (app.excerpt).
Always if_exists='ignore' on notebook create_* / add_*. Failed cells: t.recompute_columns('summary', errors_only=True), or pxt recompute my_project/documents summary --errors-only -f. string_splitter / document_splitter(..., separators='sentence') need spaCy. Embedding indexes need .using(...) to bind model arguments.
© 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
SKILL.md and 6 other files (references) in plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 9e7b281
Pixeltable 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 |
|---|---|---|---|---|---|---|
| Pixeltable this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| LangGraph Decision Modelslangchain-ai/langchain-skills | 1.3k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Tool Designagentailor/fullstack-langgraph-nextjs-agent | 132 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Langchain Middlewarelangchain-ai/langchain-skills | 1.3k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Python Agent Enginekennyzir/7deer_skills | 322 | — | ~423 | Automated safety check: Notes | MIT | |
| Routerbase API Integrationaiskillstore/marketplace | 430 | — | ~964 | Automated safety check: Pass | None |
langchain-ai/langchain-skills
Routes LangGraph agents with typed decision models that return probabilities, and finds LLM calls that only exist to produce a routing decision.
agentailor/fullstack-langgraph-nextjs-agent
Design and verify tools that AI agents can actually use — for any framework or language (MCP servers, LangChain/LangGraph, function-calling, raw JSON schema; TypeScript, Python, or otherwise).
langchain-ai/langchain-skills
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output.
kennyzir/7deer_skills
A production-ready Python AI Agent engine using LangChain. An agent skill from kennyzir/7deer_skills.
aiskillstore/marketplace
Integrate applications with RouterBase, the OpenAI-compatible model gateway at https://routerbase.com/v1.
vemetric/vemetric
A skill your agent uses when the user wants to run SQL — especially analytical SQL — on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse…
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
Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
Works with
Categories
Build multimodal AI apps with Pixeltable. An agent skill from hashgraph-online/awesome-codex-plugins. Pixeltable is an agent skill from hashgraph-online/awesome-codex-plugins. Build multimodal AI apps with Pixeltable.
Pixeltable fits situations like: tool-calling agents; processing images/video/audio/documents; direct PostgreSQL administration.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill pixeltable -a claude-code`. Or copy the skill folder (plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill in hashgraph-online/awesome-codex-plugins) into .claude/skills/pixeltable in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill pixeltable -a codex`. Or copy the skill folder (plugins/pixeltable/pixeltable-skill/skills/pixeltable-skill in hashgraph-online/awesome-codex-plugins) into .agents/skills/pixeltable 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 pixeltable -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pixeltable, .gemini/skills/pixeltable, .github/skills/pixeltable and .opencode/skills/pixeltable in your project.
Going by SKILL.md and its folder, Pixeltable needs the command-line tools its instructions call (pip and python) and credentials named OPENAI_API_KEY and PIXELTABLE_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY; A credential in PIXELTABLE_API_KEY.
SKILL.md names 3 domains. As links in the text: docs.pixeltable.com, github.com and pixeltable.com. 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.
Pixeltable is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Pixeltable: LangGraph Decision Models (langchain-ai/langchain-skills, 1.3k stars), Tool Design (agentailor/fullstack-langgraph-nextjs-agent, 132 stars), Langchain Middleware (langchain-ai/langchain-skills, 1.3k stars) and Python Agent Engine (kennyzir/7deer_skills, 322 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 1,255 GitHub stars. The repository holds 714 skills in this directory. The repository was last updated on October 9, 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.