linkedin-animated-infographics
AGENTS.md14 starsChanged 3 months agoMITView on GitHub
This supplements the root AGENTS.md. The repository-specific operating authority is helper/GUIDE.md. Codex and Claude are first-class hosts for the same product core. Do not fork the canonical product workflows or create a Codex-only copy of skills/ or agents/. Before changing routing, skills, agents, tools, research, packaging, or distribution, read: Use the merged Info-stories registry from scripts/info_stories.py::load_catalog() rather than treating catalog.json alone as the source of truth. Public OpenAI submission materials live under submission/. They prepare the package for review but…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,700 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository19 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/agents.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- linkedin-animated-infographicsSkill
- linkedin-animated-infographics-conventionsSkill
- arabicSkill
- artboardSkill
- captionSkill
- info-storiesSkill
- mascotsSkill
- masteroneSkill
- motionSkill
- new-postSkill
- postSkill
- qa-postSkill
- render-gifSkill
- renderSkill
- share-demoSkill
- svg-mascot-animatorSkill
The file
We split this AGENTS.md into the rules it gives an agent
5 rules. About 1 is common, 2 are distinctive, and 2 are very specific to this project.
≈1
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 9
Before changing routing, skills, agents, tools, research, packaging, or distribution, read:
- Very specific: line 23
Use the merged Info-stories registry from scripts/info_stories.py::load_catalog() rather than treating catalog.json alone as the source of …
- Very specific: line 46
After final verification and delivery, new-post may offer community sharing.
- Distinctive: line 85
write-capable adapters may write only canonical or explicitly assigned task-workspace artifacts
- Common: line 119
Keep user credentials and private MCP configuration outside the repository.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Codex Repository Guide
This supplements the root AGENTS.md. The repository-specific operating authority is helper/GUIDE.md.
Codex and Claude are first-class hosts for the same product core. Do not fork the canonical product workflows or create a Codex-only copy of skills/ or agents/.
Required authority
Before changing routing, skills, agents, tools, research, packaging, or distribution, read:
helper/GUIDE.mdhelper/router.jsonhelper/capabilities.jsonhelper/quality-gates.jsonhelper/artifacts.jsonhelper/modules.jsonresearch/capability-notes/gates.jsonarchitecture/plugin-graph.jsoncompatibility/codex.jsonskills/info-stories/references/asset-source-policy.mdskills/info-stories/references/typography-direction.md
Use the merged Info-stories registry from scripts/info_stories.py::load_catalog() rather than treating catalog.json alone as the source of truth.
OpenAI plugin surfaces
.codex-plugin/plugin.jsonis the native OpenAI plugin manifest.agents/plugins/marketplace.jsonis the repository marketplace for Codex and ChatGPTskills/is the canonical Claude/repository product skill rootopenai-skills/is the self-contained public OpenAI skills distributionscripts/validate_codex_plugin.pyis the OpenAI packaging/parity gate.codex/config.tomland.codex/agents/*.tomlare repository-development configuration only; installed plugin behavior must not depend on them
Public OpenAI submission materials live under submission/. They prepare the package for review but do not mean a new version has been submitted or published.
Canonical product execution
new-post remains the canonical repository production parent workflow. Subtasks return bounded artifacts to it; no worker coordinates peer workers through hidden delegation.
The shipping order is:
design-study -> evidence-checker -> asset-curator -> creative-director -> story-architect -> palette-curator -> type-curator -> copy-compressor -> layout-composer -> caption-writer -> artboard-builder -> motion-director -> optional mascot-animator -> motion-engineer -> render-qa -> post-critic -> story-verifier
Evidence is finalized before verified identity sourcing. asset-curator then creates build/asset-plan.json. creative-director concepting follows. type-curator creates build/type-spec.json before copy fitting. Downstream workers preserve both artifacts.
After final verification and delivery, new-post may offer community sharing. share-demo runs only after explicit user consent, validates the public package, and delegates GitHub contribution mechanics to community-publisher. Community publication stops at an open PR for maintainer manual review and merge.
Plugin-local defaults:
hooked-design-copycreative-payoffclean-creative-structurecreative-attractive-restrainedcenter-first- Lobe-first verified identity sourcing after exact user-supplied official assets
- intentional typography with no render-time remote font dependency
A named verified identity may come from an exact user/task asset or an approved Lobe source. Missing verified identities HOLD instead of becoming generated substitutes.
Research-derived gates remain active through research/capability-notes/gates.json.
Codex subagents
Current Codex releases can delegate when a user, AGENTS.md, or a Skill requests subagents.
Two categories are allowed under project-scoped .codex/agents/:
- narrow repository-maintenance helpers
- canonical product-worker adapters that consume, rather than replace, the product core
Maintenance helpers are:
explorer: read-only execution-path evidencereviewer: read-only correctness/security/test reviewdocs_researcher: read-only primary-documentation verification
Canonical product-worker adapters are allowed only when they obey all of these rules:
- they must read
helper/GUIDE.mdandarchitecture/plugin-graph.jsonbefore product work - they must read the mapped
agents/*.mdcontract completely before executing the assigned role - the mapped canonical worker contract owns inputs, required skill preloads, gates, HOLD conditions, output artifacts, and handoff semantics
- the adapter executes only a bounded task from the parent and returns to the parent
- the adapter must not create a parallel product orchestration model
- the adapter cannot weaken evidence, visual, verified identity, typography, verification, or publishing gates
- write-capable adapters may write only canonical or explicitly assigned task-workspace artifacts
Current product adapters map to the canonical repository workers where configured. tool_runner may perform bounded execution for a canonical worker contract supplied by the parent.
Codex may parallelize independent tasks only after their dependencies are satisfied. Evidence precedes asset resolution, verified assets precede creative concepting, and typography precedes copy fitting. Sequential execution remains a valid fallback when delegation is unavailable or unnecessary.
Public OpenAI runtime boundary
The installed skills-only package does not depend on project-scoped Codex adapters.
openai-skills/linkedin-infographic-studio/ carries the matching asset-source, typography, creative-structure, visual QA, and final-verification contracts for ChatGPT/Codex hosts that do not expose the Claude worker graph.
Strict validation
Run:
python3 -m unittest discover -s tests -v
python3 scripts/ecosystem_router.py check
python3 scripts/research_gates.py check
python3 scripts/plugin_graph.py check
python3 scripts/ecosystem_doctor.py check
python3 scripts/demo_gallery.py check
python3 scripts/validate_marketplace.py
python3 scripts/validate_codex_plugin.pyscripts/ecosystem_doctor.py is the strict runtime reality gate. scripts/validate_codex_plugin.py checks native OpenAI packaging, marketplace structure, Codex project config, and cross-host parity.
Repo skills
- Generic/coding-agent conventions:
.agents/skills/linkedin-animated-infographics/SKILL.md - Claude-facing companion:
.claude/skills/linkedin-animated-infographics/SKILL.md
Keep user credentials and private MCP configuration outside the repository. Do not fabricate claims, UI behavior, proof, identity assets, or typography provenance to satisfy a build. Do not publish a community demo without explicit user consent and export validation.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

