ccplugins

Emanuele Ballarin's personal Claude Code plugin marketplace.

Install the marketplace

From any Claude Code session:

/plugin marketplace add emaballarin/ccplugins

Then install individual plugins with /plugin install <name>@ccplugins.

Plugins

Name	Description	Docs
mf	mindfunnel — project-agnostic session management. Four skills (/mf:setup, /mf:prime, /mf:dump, /mf:spinup) that funnel session state into auto-memory and back.	plugins/mindfunnel
ccsci	ccscience — research & scientific-computing skills adapted from Claude Science: literature-review, pdf-explore, the figure-style / figure-composer / paper-narrative trilogy, canvas-design, doc-coauthoring, web-artifacts-builder, plus the computational-scientist and deep-researcher subagents.	plugins/ccscience
ar	autoresearch — an autonomous experiment loop for any numeric objective. Five skills (/ar:start, /ar:resume, /ar:status, /ar:report, /ar:stop) that propose one change, measure it, and keep it only if it beats the measured noise floor.	plugins/autoresearch
tml	tuneml — the scientific method for tuning and the speed↔quality frontier, in one place. Five skills (/tml:audit, /tml:plan, /tml:round, /tml:analyze, /tml:review) that read a pipeline, fix an operating point and a step budget, design experiments with scientific/nuisance/fixed hyperparameters, and return variance-aware adopt verdicts. Replaces the former parml plugin.	plugins/tuneml

Install a plugin

/plugin install mf@ccplugins
/plugin install ccsci@ccplugins
/plugin install ar@ccplugins
/plugin install tml@ccplugins

Layout

ccplugins/
├── .claude-plugin/
│   └── marketplace.json
├── .github/workflows/validate.yml        # CI: Tier-1 static validation
├── tests/                                # pytest Tier-1 suite (+ requirements.txt)
├── README.md                             # this file
├── LICENSE                               # MIT
└── plugins/
    ├── mindfunnel/                          # plugin name: mf
    │   ├── .claude-plugin/plugin.json
    │   ├── README.md
    │   ├── CHANGELOG.md
    │   ├── skills/{setup,prime,dump,spinup}/SKILL.md
    │   ├── references/ledger.md
    │   └── templates/{AGENTS,project-AGENTS,PROJECT,SOUL,USER}.md
    ├── ccscience/                           # plugin name: ccsci
    │   ├── .claude-plugin/plugin.json
    │   ├── README.md  CHANGELOG.md  LICENSE  # Apache-2.0
    │   ├── agents/{computational-scientist,deep-researcher}.md
    │   └── skills/{literature-review,pdf-explore,figure-style,
    │               figure-composer,paper-narrative,canvas-design,
    │               doc-coauthoring,web-artifacts-builder}/
    ├── autoresearch/                        # plugin name: ar
    │   ├── .claude-plugin/plugin.json
    │   ├── README.md  CHANGELOG.md  LICENSE  NOTICE  # MIT
    │   ├── skills/{start,resume,status,report,stop}/SKILL.md
    │   ├── references/{protocol,statistics,state-schema,resume-loop,completion-status}.md
    │   └── templates/{ar.config.json,benchmark.sh,checks.sh,
    │                  evaluator.py,ar-loop.sh}
    └── tuneml/                              # plugin name: tml
        ├── .claude-plugin/plugin.json
        ├── README.md  CHANGELOG.md  LICENSE  NOTICE  # MIT (+ CC BY 4.0 material)
        ├── skills/{audit,plan,round,analyze,review}/SKILL.md
        ├── references/{evidence-grades,literature,optimisers,regime,
        │               hyperparameter-roles,study-design,diagnostics,
        │               instability,step-budget,tier-a-algorithmic,
        │               tier-b-systems,tier-c-protocol,tier-d-architecture,
        │               modality-map,hardware-notes,pitfalls}.md
        └── templates/{findings,frontier,study-spec}.md + results-example.jsonl

New plugins go under plugins/<name>/ and get an entry in .claude-plugin/marketplace.json.

Validation

A dependency-light pytest suite keeps the marketplace internally consistent — frontmatter validity, plugin.json ↔ CHANGELOG.md version parity, marketplace integrity, README ↔ disk skill-table sync, referenced bundled-path existence, the ccsci kernel ↔ SKILL.md entrypoint contract, and the tml grading contract (every tier-catalogue item carries an evidence grade, every change item also declares a quality exposure, and both ladders match the reference). It reads files only (no plugin code runs), so it needs nothing beyond pytest + PyYAML.

pip install -r tests/requirements.txt
python -m pytest tests/ -q

CI runs the same on every push and pull request (.github/workflows/validate.yml). Details: tests/README.md.

License

The marketplace and the mf plugin are MIT — see LICENSE. The ccsci plugin is Apache-2.0 with its own plugins/ccscience/LICENSE (its bundled canvas-design typefaces are under the SIL Open Font License). The ar plugin is MIT with its own LICENSE and a NOTICE crediting the three MIT upstreams whose protocol behaviour it re-implements. The tml plugin is MIT with its own LICENSE and a NOTICE that additionally records its adaptation of the CC BY 4.0 Deep Learning Tuning Playbook, with the changes made.

Contact

Emanuele Ballarin — emanuele@ballarin.cc