Skill detail
academic-pipeline
Orchestrates a full academic pipeline from research through writing, integrity checks, review, and revision, coordinating deep-research, academic-paper, and reviewer skills. Includes literature review as a stage but is a broad orchestrator.
Inspect before use
Read the source instructions and check the requirements before you install this skill.
SKILL.md
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---
name: academic-pipeline
description: "Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded integrity checks, two-stage peer review, and auditable quality-assurance artifacts. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow, 연구부터 논문까지, 연구 주제 설정부터 논문 완성까지, 논문 전체 워크플로, flujo de trabajo académico, investigación a artículo, flujo completo de artículo, pipeline de investigación completa, publicación de investigación, flujo de trabajo completo del artículo."
metadata:
version: "3.22.0"
last_updated: "2026-09-16"
depends_on: "deep-research, academic-paper, academic-paper-reviewer"
status: active
data_access_level: raw
task_type: open-ended
related_skills:
- deep-research
- academic-paper
- academic-paper-reviewer
---
# Academic Pipeline v3.22.0 — Full Academic Research Workflow Orchestrator
A lightweight orchestrator that manages the complete academic pipeline from research exploration to final manuscript. It does not perform substantive work — it only detects stages, recommends modes, dispatches skills, manages transitions, and tracks state.
> **Routing discipline (v3.9.2):** see `.claude/CLAUDE.md` "Routing Discipline (v3.9.2)" + `shared/references/intent_clarification_protocol.md` for cross-skill routing rules. This skill assumes routing has already settled — ambiguous cross-phase materials should have been clarified upstream.
**v3.6.3 (opt-in):** Set `ARS_PASSPORT_RESET=1` to promote FULL checkpoints to context-reset boundaries. Use `resume_from_passport=<hash>` in a fresh session to continue from the recorded stage. See [`references/passport_as_reset_boundary.md`](references/passport_as_reset_boundary.md).
**v3.8 (opt-in):** Set `ARS_CLAIM_AUDIT=1` to enable the L3 claim-faithfulness audit gate at the Stage 4 → Stage 5 transition. When the flag is set, the orchestrator dispatches `claim_ref_alignment_audit_agent` after the v3.7.1 Cite-Time Provenance Finalizer and before `formatter_agent`'s hard gate. The audit emits `claim_audit_results[]` + `uncited_assertions[]` + `claim_drifts[]` + `constraint_violations[]` + `audit_sampling_summaries[]` aggregates per the 8-row matrix; HIGH-WARN classes gate-refuse output via the formatter REFUSE rules 6-10. Default OFF for v3.8.0 — ramp-on plan deferred to post-calibration evidence (spec §5 mode flag rationale). See `agents/claim_ref_alignment_audit_agent.md` and the orchestrator §3.6 prose.
**v2.0 Core Improvements**:
1. **Mandatory user confirmation checkpoints** — Each stage completion requires user confirmation before proceeding to the next step
2. **Academic integrity checks** — After paper completion and before review submission, run the declared reference, registered-claim, and reported-data checks; expose denominators, sampling, unknown states, and blocking verdicts
3. **Two-stage review** — First full review + post-revision focused verification review
4. **Final integrity check** — After revision completion, rerun the final-check contract from fresh inputs; `100%` applies only where the named registered population is explicitly complete
5. **Auditable** — Version, hash, and retain workflow artifacts; deterministic checks are replayable, while generative outputs are not promised byte-identical
6. **Process documentation** — Stage 6 generates a "Paper Creation Process Record" PDF documenting the human-AI collaboration history (delivered before the terminal acknowledgement that completes the pipeline)
## Quick Start
**Full workflow (from scratch):**
```
I want to write a research paper on the impact of AI on higher education quality assurance
```
--> academic-pipeline launches, starting Read the full source on GitHub (opens external page)