Session resume
Skill EthanYoQ/Skill-hub/skills/10-business-industry/session-resume
Mid-run failure recovery for disease-market-sizing-orchestration. Inspects .cache/<slug>/ to determine which phase last completed and which phase to run next. Use when orchestration was interrupted and user wants to continue without restarting from phase 1.From its SKILL.md
npx -y skills add EthanYoQ/Skill-hub --skill session-resumeAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as Cite-or-Block strict (P0 iron law, see ../../CLAUDE.md). That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
1.2 KB, 227 tokens by cl100k_base, as published. Nobody here has run it
Session Resume (A12 · part 1)
Detects partial state of an interrupted disease-market-sizing-orchestration run by scanning the per-disease cache directory.
Functions
detect_partial_state(slug_dir: Path) -> PhaseState — returns last_completed_phase + next_phase + reason.
resume_from(slug_dir: Path) -> str — human-readable resume message.
Phase progress signals
| Phase complete | Signal in .cache/<slug>/ |
|---|---|
| 1 (contract) | contract.json exists |
| 2 (staging) | staging.json exists |
| 3 (recall) | sources/ non-empty |
| 4 (compose+audit) | both citations_index.json and verification_report.json exist with verdict: "ok" |
| 5 (bundle) | output/delivery_manifest.json exists |
Usage
Always called by disease-market-sizing-orchestration.run() at the very start to decide whether to start fresh or continue from a partial run.
What ships with it: 1 file
4.1 KB alongside SKILL.md, 1 of them executable
scripts/
- resume.pyruns4.1 KB
Gives 0 of the 12 instructions most hr recruiting skills give in 227 tokens
Counted across 356 of the 357 authors here whose files we hold, read 2026-08-07
- Quantify achievements with specific metricsin 14 of 356, across 6 files
- Keep the resume under two pagesin 14 of 356, across 6 files
- Request the full job description if not providedin 12 of 356, across 4 files
- Extract keywords and prioritize job requirementsin 12 of 356, across 4 files
- Stop and ask for clarification if required inputs are missingin 12 of 356, across 5 files
- Map candidate experience to job requirementsin 11 of 356, across 3 files
- Ask if the user wants adjustmentsin 11 of 356, across 3 files
- Provide strengths and gap analysis after the resumein 10 of 356, across 2 files
- Request candidate background details if not providedin 10 of 356, across 2 files
- Format experience bullets as action verb plus resultin 10 of 356, across 2 files
- Ask for missing inputs before startingin 10 of 356, across 9 files
- Use exact job description terminologyin 9 of 356, across 1 file
Said here and by no other author read
- scan the cache directory to detect partial state
- identify the last completed phase from cache signals
- determine the next phase to run
- return the resume reason
- generate a human-readable resume message
- run this at the very start of orchestration
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.