imc-related-work
Use when writing or auditing the related-work and positioning of an ACM IMC paper, covering the measurement literature lanes, positioning against prior datasets and vantage points, delta-first framing, citing the datasets and tools you build on, distinguishing IMC from SIGCOMM/NSDI/PAM prior art, and keeping self-citations double-blind.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-related-work --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# IMC Related Work Use this to position an IMC paper. In measurement, related work is not just prior *claims* — it is prior **datasets, vantage points, tools, and methodologies**. IMC reviewers know the measurement landscape intimately; a positioning that ignores the dataset or platform your finding builds on, or that misattributes measurement work to the wrong venue, reads as unfamiliarity with the field. ## Cover the measurement literature lanes Position against the relevant lanes, not a generic "prior work" pile: - **The same phenomenon, measured before:** who measured this, from which vantage points, when, and what did they find? Your delta is usually breadth, recency, a better vantage point, or a correction. - **The datasets and platforms you use:** RIPE Atlas, CAIDA data, scan datasets, DNS platforms, top lists, telescopes — cite the paper that introduced the instrument, and note its known biases. - **The methodology you extend or question:** if you improve or audit a measurement technique, cite its origin and state what you change. - **Adjacent findings that frame significance:** related measurements that make your question matter. ## Delta-first positioning Lead each compar
- Cover the measurement literature lanes
- Delta-first positioning
- Position against prior datasets and vantage points
- Get the venue attribution right
- Keep self-citations double-blind
- Failure patterns
- Output format
What does the imc-related-work skill do?
Use when writing or auditing the related-work and positioning of an ACM IMC paper, covering the measurement literature lanes, positioning against prior datasets and vantage points, delta-first framing, citing the datasets and tools you build on, distinguishing IMC from SIGCOMM/NSDI/PAM prior art, and keeping self-citations double-blind.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-related-work --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.