* feat(skill): add Terraform operational skill
Add a single tool skill for Terraform and OpenTofu operations: module
structure, state backends and locking, plan/apply workflow, drift detection,
remote state, upgrade and refactor flows, and evidence-based diagnostics.
Ships the agent-first tfops wrapper (JSON output, direct state-file analysis,
--dry-run/--yes/--force mutation gate), a fixture-tested suite, six eval
cases, dated references, and routing up to platform-engineering. Closes#243.
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* fix(skill): clarify missing-binary report in tfops doctor
When the TERRAFORM env override names a binary that cannot be found,
doctor now reports the env value with a (not found) marker instead of
falling back to the generic default name.
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2026-08-03 17:38:46 -04:00
Magnus HedemarkGitHubfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* feat(skill): add documents family skill (PDF / Word / Excel / PowerPoint)
One family skill for PDF, Word (.docx), Excel (.xlsx), and PowerPoint
(.pptx) per the family-skill rule (epub precedent): shared workflow in
SKILL.md (scope, content model, template, render, validate, deliver) with
per-format load-on-demand references, generation templates per format, a
stdlib validation script (--json, structural sanity + render check with
graceful degradation), one fixture per format, a unittest suite, six
output-quality eval cases spanning all four formats, a human README, the
README.md index entry, and regenerated catalogs.
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* fix(skill): dispatch PDF renderer args per binary in documents validation
The render check passed pdftoppm-only flags (-png/-r/-f/-l) to mutool and
ghostscript, which reject them, so a machine with only mutool or gs would
false-FAIL valid PDFs. Dispatch per-renderer argument sets (pdftoppm -png;
mutool draw -o; gs -sDEVICE=png16m) and cover the dispatch with a unit test.
Also: count PDF pages via the /Count page-tree fallback (page objects can
hide in compressed ObjStm streams), drop the stale "unsupported input" exit-2
claim from the docstring, and stop labeling skipped files with a FAIL check.
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* style(skill): drop redundant local tempfile import in renderer dispatch test
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2026-08-03 17:36:00 -04:00
Magnus HedemarkGitHubfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Add the agent-production-operations bundle under bundles/agent-production-operations/.
This bundle provides a runtime control plane for taking an evaluated agent with
tools and authority into controlled production operation.
Deliverables:
- SKILL.md: thin umbrella with runtime control plane routing table composing
agent-evals-and-observability, release-engineering, site-reliability-engineering,
secure-software-engineering, and platform-engineering
- references/agent-production-contract.md: capability, authority, uncertainty,
escalation, and side-effect contracts
- references/runtime-control-plan.md: versioning (model, prompt, tool, policy,
evaluator), staged rollout (4 stages), and fallback paths
- references/tool-authority-health.md: tool availability/failure and authority
usage/breach state record
- references/trace-to-eval-feedback.md: production-to-evaluation feedback loop
- references/discovery-brief.md: bounded discovery brief defining boundaries
with specialist skills
- README.md: human-facing overview with all required sections
- AGENTS.md: agent loading and nested-skill discovery notes
- evals/evals.json: 7 integrated eval cases covering read-only agent, tool-using
agent with side effects, model regression, tool outage, cost-budget breach,
human escalation, and incident-learning-driven disablement
Closes#201
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2026-08-02 19:22:29 -04:00
Magnus HedemarkGitHubfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Add the production-excellence bundle (#195) that composes cross-domain
production evidence (readiness, migration, recovery, capacity/cost,
incident-learning) into a launch or operational decision — go, no-go,
defer, exception, or escalation — with an accountable owner and a
post-launch learning path.
- SKILL.md: thin umbrella with readiness routing table (5 primary
production-domain routes + 7 supporting specialists), cross-domain
entry evidence, gate/exception model, operational handoff, and
post-launch learning paths routed to incident-learning and
product-lifecycle-learning.
- AGENTS.md: nested-skill loading behavior and harness compatibility.
- README.md: human-facing with all five required sections.
- references/discovery-brief.md: bounded comparison with 13 existing
production and release skills (SRE, release, platform, security,
data, QA, verification, lifecycle-learning, plus milestone skills).
- references/evidence-packet.md: production evidence packet covering
readiness, migration, recovery, capacity/cost, and incident-learning
domains — for both new services and changes to existing systems.
- references/gates.md: gate/exception model with go, no-go, defer,
exception, escalation outcomes, each anchored to service ownership,
risk, evidence, and verification.
- references/handoff-record.md: operational handoff fields and
post-launch learning path.
- evals/evals.json: 5 integrated cases covering normal release,
blocked launch (untested rollback), data migration, dependency
outage, and cost/SLO conflict.
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2026-08-02 19:20:38 -04:00
Magnus HedemarkGitHubfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Add a composable product-lifecycle bundle that routes a product through nine
lifecycle phases — discovery, strategy and portfolio choice, roadmap, UX and
requirements, experimentation, delivery handoff, adoption, success, and
lifecycle review — by composing existing specialist product skills with
phase-entry evidence, handoff artifacts, stop/escalation rules, and a
lifecycle evidence ledger.
The bundle is thin by design: it never duplicates a specialist's
methodology, does not assume B2B SaaS (customer-success routing is
conditional on product type), and supports stopped/escalated paths as
legitimate lifecycle outcomes.
Includes:
- SKILL.md: thin umbrella with 9-phase routing table and loading protocol
- references/phases.md: per-phase contracts with entry evidence, output
artifacts, escalation behavior, completion criteria, and ledger spec
- references/discovery-brief.md: bounded discovery brief comparing with
existing bundles (neckbeard, workflow-architect, tailscale,
research-and-vault)
- references/capability-map.md: capability area to owning skill lookup
- README.md: human-facing with all required sections
- AGENTS.md: agent-facing loading and operational instructions
- evals/evals.json: 6 schema-v1 output-quality cases covering complete
lifecycle, ambiguous request, failed experiment, non-adoption,
justified retirement, and cross-phase evidence handoff
Closes#187
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2026-08-02 19:18:32 -04:00
Magnus HedemarkGitHubusername <username>factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Add a new skill connecting demand, performance, reliability, and spend
decisions. Covers capacity models, unit economics, budget/quota controls,
load/soak test evidence, and SLO-cost tradeoffs with structured templates.
Includes:
- SKILL.md with connected-dimensions framework, working method, four
labeled scenarios (growth, peak, degraded, cost-constrained), and
routing table to six adjacent skills
- README.md with five required human-facing sections
- references/discovery-brief.md comparing ownership boundaries across
financial-modeling, platform-engineering, SRE, product-analytics,
production-readiness, product-roadmapping, and resilience-and-recovery
- Five fillable templates: capacity-model, unit-economics-record,
budget-quota-decision, load-soak-test-plan, slo-cost-tradeoff-record
- evals/evals.json with five output-quality cases: growth-forecast,
peak-event, slo-cost-conflict, quota-decision, misleading-unit-cost
- Regenerated marketplace, Codex, and llms.txt catalogs (117 skills)
- Updated root README catalog section and skill-triggers index
Co-authored-by: username <username>
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
2026-08-02 18:41:03 -04:00
Magnus HedemarkGitHubusername <username>factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* feat(production-readiness): add production-readiness skill
Add a cross-domain production-readiness skill that assembles production
evidence into a risk-scaled launch decision. Includes:
- SKILL.md: three risk classes (Low/Standard/High) with proportional
evidence requirements, 11-category evidence checklist with named source
or explicit gap for every category, four launch-decision outcomes
(go/no-go/defer/exception) with accountable owners, exception routing
to explicit human approval, and a route-to table for 12 specialist skills.
- README.md: human-facing with all five required sections.
- references/discovery-brief.md: bounded survey of existing production
and engineering skills with concrete ownership boundaries against
release-engineering and site-reliability-engineering.
- references/readiness-record.md: fillable readiness record template.
- evals/evals.json: five output-quality cases covering low-risk docs,
user-facing launch, migration-dependent release, missing owner evidence
(blocked), and exception requiring human approval.
Closes#196
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* chore(production-readiness): update catalog files for production-readiness
Update root README catalog, skill-triggers index, and three generated
marketplace catalog files to include the new production-readiness skill.
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
---------
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2026-08-02 18:14:22 -04:00
Magnus HedemarkGitHubusername <username>factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* feat(product-lifecycle-learning): add product lifecycle learning skill (#194)
Introduce a new skill to close the launch-to-learning loop for product features
and capabilities. Covers:
- Post-launch outcome review with explicit epistemic categories
(expected/observed/uncertain/inferred)
- Assumption ledger updates with confidence shifts
- Multi-dimensional feature health assessment
- Six lifecycle decisions: continue/improve/harvest/pivot/pause/retire
- Full retirement lifecycle: deprecation communication, migration paths,
customer treatment during sunset, and internal cleanup
- Durable retained learning records that feed back into roadmap, analytics,
adoption, experimentation, and specifications
Ships 4 references (discovery brief, epistemic discipline, retirement lifecycle,
feedback destinations), 6 templates (outcome review, assumption ledger update,
feature health record, retirement decision, sunset plan, retained learning
record), and 7 eval cases including adversarial coverage.
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* fix(product-lifecycle-learning): regenerate marketplace with corrected description
The Claude marketplace JSON contained the original description starting with
"Close" which was replaced with "Compare" to satisfy the imperative-verb
quality check. Regenerate to match the corrected SKILL.md frontmatter.
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* fix(product-lifecycle-learning): regenerate llms.txt with corrected description
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2026-08-02 17:33:10 -04:00
Magnus HedemarkGitHubusername <username>factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Add a conditional skill for products with recurring human relationships.
Covers success plans, health evidence, renewal/expansion signals, QBRs,
handoffs, escalation, and closed-loop Voice of Customer. The skill is
conditional: it declines and routes away when the product has no accounts,
renewals, QBRs, or customer-success team.
Includes:
- SKILL.md with conditional frontmatter, trigger sections, four product-
model adaptations (B2B subscription, transactional, public-service,
internal product), core artifacts, privacy and human-judgment boundaries,
and routing to product-analytics-and-measurement, product-adoption,
product-experimentation, go-to-market, and product-lifecycle-learning.
- README.md with all five required human-facing sections.
- references/discovery-brief.md surveying existing content and defining
ownership boundaries and routing.
- references/privacy-and-human-judgment.md with consent framework,
surveillance-risk guidance, decision-support rules, and data
classification tiers.
- templates/applicability-decision.md, templates/success-plan.md,
templates/health-risk-record.md, and templates/escalation-and-
feedback-closure.md.
- evals/evals.json with 5 output-quality cases covering B2B subscription,
internal-tool decline (negative trigger), public-service routing,
renewal-risk with mixed signals, and conflicting health evidence.
- Updated root README.md catalog section, references/skill-triggers.md,
and regenerated marketplace/Codex/llms.txt catalogs.
Co-authored-by: username <username>
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
2026-08-02 17:30:51 -04:00
Magnus HedemarkGitHubusername <username>factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Add a reusable implementation-planning skill for turning approved
requirements or specifications into executable, dependency-aware delivery
plans. Covers work breakdown into vertical slices, dependency mapping with
critical-path analysis, ownership assignment, sequencing and parallelism,
staged rollout strategy with rollback paths, and verification traceability
against the original requirement.
Includes:
- SKILL.md with valid frontmatter, entry gate for prerequisite approval,
progressive-disclosure file map, and handoff table to specialist skills
- README.md with all five required human-facing sections
- references/discovery-brief.md comparing existing planning material and
defining ownership boundaries
- templates/ for implementation plan, dependency record, and risk/decision/
verification sections
- evals/evals.json with six output-quality cases covering ambiguous
requirements, cross-repository dependencies, data migration, risky
rollout, unapproved prerequisite rejection, and multi-team ownership
conflict
- Catalog and routing updates (README, skill-triggers, generated catalogs)
Closes#186
Co-authored-by: username <username>
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2026-08-02 17:29:00 -04:00
Magnus HedemarkGitHubusername <username>factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* feat(product-analytics-and-measurement): add product analytics and measurement skill
Add a new skill that turns intended product outcomes into observable,
governed evidence: metric trees with leading/lagging indicators and
countermetrics, event/tracking plans with identity/session/data-quality/
ownership considerations, instrumentation QA across client/server/pipeline/
end-to-end layers, dashboard contracts, privacy-aware measurement, and
decision cadence for outcome reviews.
Includes:
- SKILL.md with Loading Guide, When to Use/Not to Use, related-skill routing
- README.md with all 5 required human-facing sections
- references/discovery-brief.md mapping ownership boundaries vs existing skills
- references/metric-tree.md with measurability gates and contextual examples
- templates/tracking-plan.md (event taxonomy, identity resolution, privacy)
- templates/instrumentation-qa-checklist.md (4-layer QA)
- templates/outcome-review.md (decision cadence template)
- evals/evals.json with 6 cases covering new feature, internal product,
public service, conflicting metrics, unmeasurable North Star rejection,
and privacy-boundary measurement
- Updated root README catalog, skill-triggers.md, and regenerated catalogs
Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
* feat(product-analytics-and-measurement): add product analytics and measurement skill
Add a new skill that turns intended product outcomes into observable,
governed evidence: metric trees with leading/lagging indicators and
countermetrics, event/tracking plans with identity/session/data-quality/
ownership considerations, instrumentation QA across client/server/pipeline/
end-to-end layers, dashboard contracts, privacy-aware measurement, and
decision cadence for outcome reviews.
Includes:
- SKILL.md with Loading Guide, When to Use/Not to Use, related-skill routing
- README.md with all 5 required human-facing sections
- references/discovery-brief.md mapping ownership boundaries vs existing skills
- references/metric-tree.md with measurability gates and contextual examples
- templates/tracking-plan.md (event taxonomy, identity resolution, privacy)
- templates/instrumentation-qa-checklist.md (4-layer QA)
- templates/outcome-review.md (decision cadence template)
- evals/evals.json with 6 cases covering new feature, internal product,
public service, conflicting metrics, unmeasurable North Star rejection,
and privacy-boundary measurement
- Updated root README catalog, skill-triggers.md, and regenerated catalogs
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---------
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2026-08-02 16:58:08 -04:00
Magnus HedemarkGitHubusername <username>factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
The generator used File.basename which stripped the bundles/ prefix,
emitting ./neckbeard instead of ./bundles/neckbeard. Codex discovered
92/96 skills — the 4 bundle entrypoints were missing because their
paths didn't resolve.
Verified with live Codex CLI: all 96 skills now discoverable.
AI-assisted: yes (Jasper/Hermes Agent)
* feat: add Codex plugin packaging (single-plugin, metadata-only)
Adds .codex-plugin/plugin.json with a skills array listing all public
skills, plus .agents/plugins/marketplace.json for one-command install:
codex plugin marketplace add magnus919/agent-skills
codex plugin install magnus919
Same pattern as mattpocock/skills — one plugin, explicit skill paths,
no dist/, no curation, no duplication. Bundle-internal helpers excluded
by the shared glob. CI check mode fails if the manifest drifts.
Closes#79
AI-assisted: yes (Jasper/Hermes Agent)
* chore: trigger CI
* chore: regenerate Codex plugin manifest to include neckbeard bundle
usernameandfactory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
