How do I install the Academic Ecosystem Primer skill?

Run npx skillmds@latest add catcorner22/academic-ecosystem-primer in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Academic Ecosystem Primer safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Academic Ecosystem Primer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Academic Ecosystem Primer free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Academic Ecosystem Primer?

CatCorner22 (@catcorner22) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Academic Ecosystem Primer by catcorner22

Name: Academic Ecosystem Primer
Author: CatCorner22

Academic Ecosystem Primer

Router for college and academic work in this library: writing, citations, study planning, source attribution, lecture notes, and presentations. Use when the user is a student, mentions college/school/coursework, or asks how to approach an assignment, paper, exam prep, or lab. Scope boundary: CS/software implementation → `coding-ecosystem-primer`; AI/ML engineering → huggingface/langchain packs; GitHub PR workflow for group code projects → `cursor-team-kit`; general execution posture → `proactive-agency`.

CatCorner22 Updated Sep 21, 2026

File contents

Academic ecosystem primer

Pick the smallest set of skills for the assignment type. This pack is discipline-agnostic — it governs how to succeed in coursework, not which major you chose.

Decision table

User intent	Load next
Essay, argument, revision, thesis statement, lab IMRaD	`academic-writing`
APA/MLA/Chicago, bibliography, in-text citations	`citation-literacy`
"What do these stats mean?", p-values, polls, study results	`academic-writing` (interpret in prose) + `citation-literacy` (name the source)
Syllabus → schedule, exam prep, note-taking, spaced repetition, problem-set cadence	`study-system`
Find sources, evaluate credibility, literature review	`citation-literacy` + `journalistic-attribution`; CS/AI papers → `huggingface-papers`
Slides, poster, oral presentation	`powerpoint-decks`
Course AI-use / plagiarism / when to ask the professor	`citation-literacy` + `journalistic-attribution` (do not invent sources)
Build an app for class (CS)	`coding-ecosystem-primer` → then domain skills
Word / Excel / PowerPoint / Teams / Outlook	`m365-ecosystem-primer`
Lecture recording → study notes (Plaud)	`plaud-ecosystem-primer`
Summarize an AI/CS arXiv paper	`huggingface-papers`
Group project git/PR workflow	`cursor-team-kit`
Stuck, prioritizing, weekly planning	`craft-systems-primer` → `ooda-lean-loop`
Prep before starting (files, week setup)	`workspace-mise-en-place`

Systems combinations

Sunday mise (student): workspace-mise-en-place → outlook-email-calendar → onedrive-organization → study-system weekly OODA.

Assignment OODA: ooda-lean-loop → confirm course AI-use rules → domain skill (act) → citation-literacy (andon if missing sources).

Default workflow (most written assignments)

1. citation-literacy + course syllabus → confirm what help and sources are allowed
2. journalistic-attribution / huggingface-papers → gather real sources if research is required
3. academic-writing    → draft with thesis and structure
4. citation-literacy   → format references and in-text cites
5. study-system        → if exam or multi-week project, map deadlines first

Returning-student note

Pair study-system with proactive-agency: the syllabus is the contract; the agent executes slices without waiting for permission on reversible steps (outlines, flashcards, draft sections) while citation-literacy and journalistic-attribution govern what must stay sourced.

Boundaries

Topic	Owner
Software feature implementation	`coding-ecosystem-primer`
Next.js / deployment	`vercel` pack
ML model training	`huggingface` pack
Character reference (Nyx)	`nyx` (projects)
AI pipeline quality / cross-domain techniques	`ai-transfer-ecosystem-primer`

---name: academic-ecosystem-primerdescription: Router for college and academic work in this library: writing, citations, study planning, source attribution, lecture notes, and presentations. Use when the user is a student, mentions college/school/coursework, or asks how to approach an assignment, paper, exam prep, or lab. Scope boundary: CS/software implementation → `coding-ecosystem-primer`; AI/ML engineering → huggingface/langchain packs; GitHub PR workflow for group code projects → `cursor-team-kit`; general execution posture → `proactive-agency`.---# Academic ecosystem primerPick the **smallest set of skills** for the assignment type. This pack is **discipline-agnostic** — it governs *how to succeed in coursework*, not which major you chose.## Decision table| User intent | Load next ||---|---|| Essay, argument, revision, thesis statement, lab IMRaD | **`academic-writing`** || APA/MLA/Chicago, bibliography, in-text citations | **`citation-literacy`** || "What do these stats mean?", p-values, polls, study results | **`academic-writing`** (interpret in prose) + **`citation-literacy`** (name the source) || Syllabus → schedule, exam prep, note-taking, spaced repetition, problem-set cadence | **`study-system`** || Find sources, evaluate credibility, literature review | **`citation-literacy`** + **`journalistic-attribution`**; CS/AI papers → **`huggingface-papers`** || Slides, poster, oral presentation | **`powerpoint-decks`** || Course AI-use / plagiarism / when to ask the professor | **`citation-literacy`** + **`journalistic-attribution`** (do not invent sources) || Build an app for class (CS) | **`coding-ecosystem-primer`** → then domain skills || Word / Excel / PowerPoint / Teams / Outlook | **`m365-ecosystem-primer`** || Lecture recording → study notes (Plaud) | **`plaud-ecosystem-primer`** || Summarize an AI/CS arXiv paper | **`huggingface-papers`** || Group project git/PR workflow | **`cursor-team-kit`** || Stuck, prioritizing, weekly planning | **`craft-systems-primer`** → `ooda-lean-loop` || Prep before starting (files, week setup) | **`workspace-mise-en-place`** |## Systems combinations**Sunday mise (student):** `workspace-mise-en-place` → `outlook-email-calendar` → `onedrive-organization` → `study-system` weekly OODA.**Assignment OODA:** `ooda-lean-loop` → confirm course AI-use rules → domain skill (act) → `citation-literacy` (andon if missing sources).## Default workflow (most written assignments)```1. citation-literacy + course syllabus → confirm what help and sources are allowed2. journalistic-attribution / huggingface-papers → gather real sources if research is required3. academic-writing → draft with thesis and structure4. citation-literacy → format references and in-text cites5. study-system → if exam or multi-week project, map deadlines first```## Returning-student notePair **`study-system`** with **`proactive-agency`**: the syllabus is the contract; the agent executes slices without waiting for permission on reversible steps (outlines, flashcards, draft sections) while **`citation-literacy`** and **`journalistic-attribution`** govern what must stay sourced.## Boundaries| Topic | Owner ||---|---|| Software feature implementation | `coding-ecosystem-primer` || Next.js / deployment | `vercel` pack || ML model training | `huggingface` pack || Character reference (Nyx) | `nyx` (projects) || AI pipeline quality / cross-domain techniques | **`ai-transfer-ecosystem-primer`** |

Frequently asked questions