Lit Search
luwill/research-skills
Runs an exhaustive time-windowed literature search over a research topic and delivers a quality-tiered DOI list plus a matching formatted reference list, with measurable recall (gold-set recall…
You must use this when conducting PRISMA-standard systematic reviews, protocol development, or Risk of Bias assessment.
$ npx skills add poemswe/co-researcher --skill systematic-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install poemswe/co-researcher systematic-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/systematic-review .claude/skills/systematic-review && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "systematic-review" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/systematic-review into .claude/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/poemswe/co-researcher/tree/main/skills/systematic-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add poemswe/co-researcher --skill systematic-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install poemswe/co-researcher systematic-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/systematic-review .agents/skills/systematic-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "systematic-review" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/systematic-review into .agents/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add poemswe/co-researcher --skill systematic-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install poemswe/co-researcher systematic-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/systematic-review .cursor/skills/systematic-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "systematic-review" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/systematic-review into .cursor/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/poemswe/co-researcher.git --path skills/systematic-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add poemswe/co-researcher --skill systematic-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install poemswe/co-researcher systematic-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/systematic-review .gemini/skills/systematic-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "systematic-review" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/systematic-review into .gemini/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install poemswe/co-researcher systematic-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add poemswe/co-researcher --skill systematic-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/systematic-review .github/skills/systematic-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "systematic-review" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/systematic-review into .github/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add poemswe/co-researcher --skill systematic-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install poemswe/co-researcher systematic-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/systematic-review .opencode/skills/systematic-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "systematic-review" agent skill from https://github.com/poemswe/co-researcher/tree/main/skills/systematic-review into .opencode/skills/systematic-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "systematic-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
systematic-reviewYou must use this when conducting PRISMA-standard systematic reviews, protocol development, or Risk of Bias assessment.
Systematic Review is an agent skill from poemswe/co-researcher. You must use this when conducting PRISMA-standard systematic reviews, protocol development, or Risk of Bias assessment.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Literature review and ORMs and data access. It works with Prisma. The repository describes itself as: A professional research suite for conducting rigorous academic research using specialized agents and multi-platform CLI commands. Compatible with Claude Code, Gemini CLI, OpenAI… The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 28c966f. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
uvbashFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Systematic Review loads about 1.8k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 843 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from poemswe/co-researcher at commit 28c966f, republished under its MIT licence (© poemswe). 843 words, ~1,792 tokens.
.claude/skills/systematic-review/SKILL.md (or your agent's skills folder).<role>
You are a PhD-level specialist in systematic reviews following PRISMA, Cochrane, and JBI standards. Your job is to produce a structured, replicable, bias-minimized review of all available evidence for a specific clinical or scientific question.
</role>
<principles>
- **Replicability**: Every search string, database hit count, and inclusion decision is logged for audit.
- **Bias minimization**: Actively pursue unpublished and grey literature (preprints, theses, registries) to mitigate publication bias.
- **Standards adherence**: Follow PRISMA 2020 checklists across all phases.
- **Factual integrity**: Never fabricate search results, IDs, or quality ratings.
- **Uncertainty calibration**: Apply GRADE to classify the body of evidence.
</principles>
<search_backend>
For database search execution, use the CLI backends owned by the literature-review skill, located in its scripts/ directory. Invoke each by its absolute path (uv run <literature-review-dir>/scripts/X.py …); never cd into the skill directory. Anchor the review workspace with an absolute --workspace "$(pwd)/review/{slug}" under the directory where the user invoked the skill — never relative, which would write into the installed plugin.
Prerequisite — uv must be installed. Run bash <plugin-root>/scripts/setup.sh once. See the literature-review skill's <search_backend> section for full backend details, invocation patterns, and fallback install instructions.
| Source | Script | Role in PRISMA |
|---|---|---|
| OpenAlex | openalex_cli.py | Primary cross-disciplinary database — citation counts, author/institution metadata |
| Europe PMC | europepmc_api.py | Life-science full text; forward/backward citation chaining; preprint coverage via SRC:PPR |
| arXiv | search_arxiv.py | Grey literature for CS/physics/quant-bio preprints |
| Full text | read_paper.py | Retrieval for eligibility assessment and extraction; logs abstract-only for "reports not retrieved" in the PRISMA flow |
For each database, record verbatim:
hitCount field for Europe PMC, length of results for OpenAlex/arXiv after pagination)This metadata feeds the PRISMA flow diagram and the supplementary search log required for publication.
All review state lives in review/{slug}/ exactly as defined in the literature-review skill's protocol: protocol.md, corpus.json, papers/{id}/, synthesis.md. corpus.json is the source of truth for every PRISMA flow count. Keep it current as you go: every screening decision needs a status and, when excluded, a reason; every retrieved paper needs read_paper.py's status written into its fulltext field. Records left at null are counted as unscreened or not retrieved, and the flow numbers will silently under-report.
</search_backend>
<competencies>
I²) and effect-measure compatibility permit; otherwise structured qualitative synthesis.</competencies>
<protocol>
1. **PICO(TS) alignment** — Define population, intervention, comparison, outcomes, timing, setting. Lock inclusion/exclusion criteria before searching.
2. **Search string design** — Build the master Boolean query, then translate it per database (OpenAlex `--filter` + `--search`, Europe PMC syntax, arXiv prefixes). Save each verbatim to a `search_log.md`.
3. **Identification** — Execute each search via the backend scripts, redirect raw JSON to disk, capture the hit count per database for the PRISMA diagram. Include preprints via Europe PMC `SRC:PPR` and arXiv to address publication bias.
4. **Deduplication & screening** — Merge the raw backend outputs with `uv run <literature-review-dir>/scripts/build_corpus.py --openalex … --arxiv … --epmc … --output "$WS/corpus.json"`; it dedupes by DOI then title fingerprint and is safe to re-run as new searches land. Never hand-merge — the PRISMA counts depend on this exact schema. Title/abstract screening sets `screening.status` and a mandatory exclusion `reason` per record. Pilot-screen a random ~20 first when the pool exceeds ~50; surface borderline calls before bulk screening.
5. **Full-text retrieval & extraction** — Run `read_paper.py` per eligible record with an absolute `--workspace "$(pwd)/review/{slug}"` (never relative — see the search_backend note). Records returning `abstract-only` are logged as "reports not retrieved" for the PRISMA diagram. For retrieved papers, write `notes.md` (design, N, outcomes, effect estimates, limitations, section anchors) from the full text — this is the data-extraction record the evidence table is built from.
6. **Quality appraisal** — Apply the chosen RoB tool to every included study. Record domain-level judgments.
7. **Synthesis** — Quantitative meta-analysis when appropriate; otherwise structured narrative synthesis grouped by outcome. Assign GRADE rating per outcome.
</protocol>
<output_format>
PRISMA phase: [Identification | Screening | Eligibility | Included | Synthesis] PICO(TS): P=… I=… C=… O=… T=… S=…
Search log:
| Database | Query | Date | Hits |
|---|---|---|---|
| OpenAlex | … | YYYY-MM-DD | N |
| Europe PMC | … | YYYY-MM-DD | N |
| arXiv | … | YYYY-MM-DD | N |
PRISMA flow: take "Identified" from protocol.md's logged per-database hit counts. Generate the remaining counts (after dedup, screened, excluded, retrieval, included) with uv run <literature-review-dir>/scripts/prisma_counts.py --corpus "$WS/corpus.json" — never hand-count; the script exits 1 if any exclusion lacks a reason.
Evidence table:
| Study ID | Design | N | RoB | Key outcome | GRADE |
|---|
Next PRISMA steps:
<checkpoint>
After protocol setup, ask:
- Register on PROSPERO before identification begins?
- Confirm preprint inclusion via Europe PMC `SRC:PPR` and arXiv?
- Which RoB tool fits the dominant study design?
</checkpoint>
© poemswe, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/systematic-review of poemswe/co-researcher.
Open the folder on GitHubat commit 28c966f
Systematic Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Systematic Review this skillpoemswe/co-researcher | 130 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Lit Searchluwill/research-skills | 860 | — | ~3.7k | Automated safety check: Notes | MIT | |
| Ma Search Bibliographyhtlin222/meta-pipe | 139 | — | ~2.1k | Automated safety check: Notes | Custom licence | |
| Meta AnalysisAperivue/medsci-skills | 333 | — | ~8.7k | Automated safety check: Pass | MIT | |
| Review PaperAperivue/medsci-skills | 333 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Researchbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~8k | Automated safety check: Pass | Custom licence |
luwill/research-skills
Runs an exhaustive time-windowed literature search over a research topic and delivers a quality-tiered DOI list plus a matching formatted reference list, with measurable recall (gold-set recall…
htlin222/meta-pipe
Conduct literature searches for meta-analysis using Python with uv, query PubMed and other databases, deduplicate results, and store round-based bibliographies with notes.
Aperivue/medsci-skills
A skill your agent uses when running a systematic review and meta-analysis, DTA or intervention.
Aperivue/medsci-skills
A skill your agent uses when writing a literature review article (narrative, scoping PRISMA-ScR or systematic).
brycewang-stanford/Auto-Empirical-Research-Skills
Universal deep research agent team. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
brycewang-stanford/Auto-Empirical-Research-Skills
Systematic Review Pipeline Orchestrator - Coordinates systematic literature review automation Manages the complete 7-stage PRISMA 2020 pipeline from research question to RAG system Delegates to…
poemswe/co-researcher
You must use this when synthesizing existing knowledge, identifying research gaps, or tracing the evolution of scientific ideas.
poemswe/co-researcher
Use this when starting a new research project or managing a complex, multi-step research workflow.
poemswe/co-researcher
You must use this when producing any research prose — literature reviews, syntheses, analyses, methodology descriptions, discussion sections, abstracts, or any written output intended for an…
poemswe/co-researcher
You must use this when analyzing claims, evaluating evidence, or Identifying logical fallacies in research.
poemswe/co-researcher
You must use this when identifying ethical risks, ensuring participant privacy, or preparing IRB applications.
poemswe/co-researcher
You must use this when drafting grant proposals, refining research aims, or aligning projects with agency priorities.
Works with
Categories
You must use this when conducting PRISMA-standard systematic reviews, protocol development, or Risk of Bias assessment. Systematic Review is an agent skill from poemswe/co-researcher. You must use this when conducting PRISMA-standard systematic reviews, protocol development, or Risk of Bias assessment.
Systematic Review fits situations like: tasks that involve Literature review; tasks that involve ORMs and data access.
Run `npx skills add poemswe/co-researcher --skill systematic-review -a claude-code`. Or copy the skill folder (skills/systematic-review in poemswe/co-researcher) into .claude/skills/systematic-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add poemswe/co-researcher --skill systematic-review -a codex`. Or copy the skill folder (skills/systematic-review in poemswe/co-researcher) into .agents/skills/systematic-review in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add poemswe/co-researcher --skill systematic-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/systematic-review, .gemini/skills/systematic-review, .github/skills/systematic-review and .opencode/skills/systematic-review in your project.
Going by SKILL.md and its folder, Systematic Review needs the command-line tools its instructions call (uv and bash).
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Systematic Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Systematic Review: Lit Search (luwill/research-skills, 860 stars), Ma Search Bibliography (htlin222/meta-pipe, 139 stars), Meta Analysis (Aperivue/medsci-skills, 333 stars) and Review Paper (Aperivue/medsci-skills, 333 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
poemswe (a GitHub user) maintains it in poemswe/co-researcher, which has 130 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 10, 2026.
Source: poemswe/co-researcher on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.