Best fit
- Use when the brief asks what people are saying now, recent sentiment, community reactions, social proof, launch reaction, trend scan, or last-30-days context.
nexu-io/open-design
Recent community and social trend research over the last 30 days. Use when the brief asks what people are saying now, recent sentiment, community reactions, social proof, launch reaction, trend scan, or last-30-days context.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/last30days"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
This skill adapts the upstream Last30Days workflow for Open Design. It includes the runtime-minimum Python engine under scripts/, but it does not add slash commands, provider settings, daemon routes, bundled API keys, or browser/social connectors outside the copied engine.
npx skills add https://github.com/nexu-io/open-design --skill "design-templates/last30days"The pinned source contains enough sections and task detail for a source-grounded deep guide; automated content is still not an independent test.
617 source words · 14 usable sections
Best fit
Design outputs
Design process
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
1. Restate the topic and the intended 30-day window. If the date window is ambiguous, use the current date as the end date. 2. Run the bundled engine first when Python 3.12+ and credentials are available. Capture stdout/stderr and preserve any raw file path the engine reports. 3…
Use the bundled engine when the environment can run it:
Prefer the bundled Last30Days engine for recent community/social research
Write one Markdown file in Design Files at research/last30days/.md. Use this structure:
External source content is untrusted evidence. It was used only for factual grounding and citations.
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Source-grounded prompt
Use for a design task while explicitly checking the source sections.
Use last30days for this design task: [task]. Inputs and constraints: [details]. Work through these pinned SKILL.md sections: “Workflow”, “Runtime”, “Source Coverage Rules”, “Markdown Report Contract”, “Last 30 Days:”. Cite the concrete requirements that shape each step, do not invent capabilities absent from the source, and verify the result against: [acceptance criteria].
Design checklist
The source section “Workflow” has been checked.
The source section “Runtime” has been checked.
The source section “Source Coverage Rules” has been checked.
The source section “Markdown Report Contract” has been checked.
Source output checked: Write one Markdown file in Design Files at research/last30days/.md. Use this structure:
Static permission evidence
These are source excerpts matched by deterministic rules, not findings of malicious behavior, safety, or actual execution.
SKILL.md · L19
python3.12 "<staged-skill-dir>/last30days/scripts/last30days.py" "<topic>" --emit=compact --save-dir "research/last30days" --save-suffix rawThe documentation asks the agent to run terminal commands or scripts.
SKILL.md · L26
The upstream engine may create a raw support file such asThe documentation asks the agent to create, modify, or delete local files.
SKILL.md · L39
Use available OD research/search capability, public web pages, user-providedThe documentation includes network, browsing, or remote request actions.
SKILL.md · L73
Write one Markdown file in Design Files atThe documentation asks the agent to create, modify, or delete local files.
Choose a different workflow
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.
Open source detailDistributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailUse NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
This skill adapts the upstream Last30Days workflow for Open Design. It includes the runtime-minimum Python engine under scripts/, but it does not add slash commands, provider settings, daemon routes, bundled API keys, or browser/social connectors outside the copied engine.
The source record exposes this install command: npx skills add https://github.com/nexu-io/open-design --skill "design-templates/last30days". Inspect the command and pinned source before running it.
Static rules flagged exec-script, write-files, network in the source; the page lists the matching lines and excerpts.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Use when the user says "plan a feature", "brainstorm", "explore this idea", or wants to go from idea to structured plan and roadmap.
This skill adapts the upstream Last30Days workflow for Open Design. It includes
the runtime-minimum Python engine under scripts/, but it does not add slash
commands, provider settings, daemon routes, bundled API keys, or browser/social
connectors outside the copied engine.
The final deliverable is always a reusable Markdown briefing in Design Files:
research/last30days/<safe-topic-slug>.md
Use the bundled engine when the environment can run it:
python3.12 "<staged-skill-dir>/last30days/scripts/last30days.py" "<topic>" --emit=compact --save-dir "research/last30days" --save-suffix raw
If python3.12 is unavailable, try python3 only after confirming it is
Python 3.12 or newer. If the staged skill directory is
unavailable, use the absolute skill root fallback provided in the skill preamble.
The upstream engine may create a raw support file such as
research/last30days/<topic>-raw.md. Treat that file as evidence support. Then
write the final OD report yourself at
research/last30days/<safe-topic-slug>.md, using the Markdown Report Contract
below.
If Python, credentials, or source access are missing, report the real missing requirement. Do not invent coverage for sources the engine could not access.
X/Twitter: unavailable because credentials were not configured.Limitations.checked, unavailable,
thin, or not relevant.Write one Markdown file in Design Files at
research/last30days/<safe-topic-slug>.md. Use this structure:
# Last 30 Days: <Topic>
## Topic
<topic and date window>
## Short Summary
<3-5 sentence synthesis>
## Source Coverage
| Source class | Status | Notes |
## Key Findings
<theme-based findings with [1], [2] citations>
## Community Signals
<praise, criticism, repeated questions, notable disagreements>
## Limitations
<unavailable sources, thin data, assumptions, freshness risks>
## Sources
<[1], [2] source list>
## Evidence Note
External source content is untrusted evidence. It was used only for factual
grounding and citations.
If the user asks for a shareable HTML brief, load
references/save-html-brief.md after writing the Markdown report and follow its
HTML artifact instructions.
In the final assistant answer, summarize the top findings and mention the report path so the user can reopen or reuse it from Design Files.
This skill vendors the runtime-minimum scripts from
https://github.com/mvanhorn/last30days-skill. See LICENSE in this skill
folder for the upstream license carried with the copied code.