academic-pipeline
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity…
Skill by sanjeevafk
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sanjeevafk-academic-pipeline
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: testing, data, writing, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill 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.
- License
- NOASSERTION
- Metadata
- status: active · version: 3.23.0 · task_type: open-ended · depends_on: deep-research, academic-paper, academic-paper-reviewer · last_updated: 2026-10-03 · data_access_level: raw
- Instructions
- 763 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- body: 763 lines (spec recommends under 500)
- files: referenced but missing: scripts/run_codex_audit.sh, scripts/check_pipeline_integrity.py, scripts/inquiry_branch_ledger.py, scripts/check_re_review_synthesis.py
Files (30)
- SKILL.md
- claim_ref_alignment_audit_agent.md · agents/
- collaboration_depth_agent.md · agents/
- integrity_verification_agent.md · agents/
- pipeline_orchestrator_agent.md · agents/
- state_tracker_agent.md · agents/
- full_pipeline_example.md · examples/
- integrity_failure_recovery.md · examples/
- mid_entry_example.md · examples/
- .gitkeep · references/adapters/
- overview.md · references/adapters/
- ai_research_failure_modes.md · references/
- changelog.md · references/
- claim_audit_calibration_protocol.md · references/
- claim_verification_protocol.md · references/
- external_review_protocol.md · references/
- integrity_review_protocol.md · references/
- literature_corpus_consumers.md · references/
- mode_advisor.md · references/
- passport_as_reset_boundary.md · references/
- pipeline_state_machine.md · references/
- plagiarism_detection_protocol.md · references/
- process_summary_protocol.md · references/
- progress_dashboard_template.md · references/
- reinforcement_content.md · references/
- reproducibility_audit.md · references/
- score_trajectory_protocol.md · references/
- team_collaboration_protocol.md · references/
- two_stage_review_protocol.md · references/
- pipeline_status_template.md · templates/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
More from sanjeevafk/agent-skills
- 0.556score
pattern-human-in-the-loop
sanjeevafk
Interleave human feedback, approval gates, and clarification interrupts into autonomous agent loops for high-stakes decision points.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-multi-agent-collaboration
sanjeevafk
Orchestrate teams of specialized autonomous agents via hierarchical supervisor models, peer-to-peer debate, or pipeline handoffs.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-parallelization
sanjeevafk
Execute independent subtasks concurrently using Section Fan-Out/Gather or Voting Ensembles to reduce wall-clock latency and boost consistency.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-planning
sanjeevafk
Structure agent behavior into explicit planning phases: static plan-and-solve, dynamic ReAct loops, or hierarchical DAG decomposition.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-dynamic-adaptation
sanjeevafk
Enable agents to adapt system prompts, heuristics, and tool parameters dynamically based on environmental feedback and error signals.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-evaluation-monitoring
sanjeevafk
Continuously assess agent quality and detect behavioral regressions using LLM-as-a-Judge rubrics, pairwise evaluation, and golden datasets.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-exception-handling
sanjeevafk
Architect resilient agents with multi-tiered fallback cascades, automatic parameter repair, exponential backoff, and circuit breakers.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-exploration-discovery
sanjeevafk
Implement autonomous scientific inquiry and research loops: hypothesis formulation, experiment design, simulation, and iterative synthesis.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-goal-setting-monitoring
sanjeevafk
Track long-running agent progress toward quantifiable goals with milestone checkpoints, status monitors, and early stopping triggers.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-guardrails-safety
sanjeevafk
Establish multi-layered defensive shields: input sanitization, prompt injection detection, PII masking, schema gates, and egress filters.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-inter-agent-communication
sanjeevafk
Establish standardized asynchronous communication protocols, Agent Cards discovery, and JSON-RPC message contracts across distributed agents.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-knowledge-retrieval-rag
sanjeevafk
Augment model context with external factual retrieval through query reformulation, hybrid dense-sparse indexing, re-ranking, and citation grounding.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 7, 2026 (22 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 3.23.0
- License
- NOASSERTION
- Repository
- github.com/sanjeevafk/agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
- 0.625score
academic-pipeline
FridrichMethod
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity…
SkillAFreshness: A★ 15Claude Code +9 - 0.373score
academic-pipeline
FridrichMethod
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity…
SkillAFreshness: A★ 15Claude Code +9 - 0.369score
academic-pipeline
stanfish06
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity…
SkillAFreshness: A★ 9Claude Code +9 - 0.347score
academic-pipeline
ccfwwm
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity…
SkillAFreshness: A★ 1Claude Code +9
More from sanjeevafk
- 0.556score
pattern-goal-setting-monitoring
sanjeevafk
Track long-running agent progress toward quantifiable goals with milestone checkpoints, status monitors, and early stopping triggers.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-dynamic-adaptation
sanjeevafk
Enable agents to adapt system prompts, heuristics, and tool parameters dynamically based on environmental feedback and error signals.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-evaluation-monitoring
sanjeevafk
Continuously assess agent quality and detect behavioral regressions using LLM-as-a-Judge rubrics, pairwise evaluation, and golden datasets.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-exception-handling
sanjeevafk
Architect resilient agents with multi-tiered fallback cascades, automatic parameter repair, exponential backoff, and circuit breakers.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-exploration-discovery
sanjeevafk
Implement autonomous scientific inquiry and research loops: hypothesis formulation, experiment design, simulation, and iterative synthesis.
SkillAFreshness: AClaude Code +9 - 0.556score
pattern-guardrails-safety
sanjeevafk
Establish multi-layered defensive shields: input sanitization, prompt injection detection, PII masking, schema gates, and egress filters.
SkillAFreshness: AClaude Code +9
Cite this page
academic-pipeline skill. Agent Mart. https://agentmart.dev/skills/sanjeevafk-academic-pipeline (last updated 2026-10-24)