Implement an approved feature plan with fresh-context slices, TDD, evidence, and PR-ready output.
npx skills add https://github.com/HoangNguyen0403/agent-skills-standard --skill implement-feature
> [!IMPORTANT]
> Implement an approved feature plan with fresh-context slices, TDD, evidence, and PR-ready output.
Optional args: slug=<feature>, ticket=<id/url>, mode=interactive|autonomous|channel, channel=<id>, auto_continue=true|false, profile=business|hybrid|technical.
When the user asks to perform this workflow, execute the following steps:
Goal: Build an approved feature through TDD slices and route completed work to verification.
docs/prd/ and docs/srs/ for a matching [slug]; if absent, use the newest matching artifact.REQ-*, AC-*, trace, or required SRS/test lanes are missing, stop and route to plan-feature, design-solution, or implementation-readiness.docs/srs/srs-task-list.md with small vertical slices.REQ-* and AC-* for each slice; do not invent scope from code inspection.docs/srs/srs-task-list.md or docs/prd/prd-plan-[slug].md.docs/prd/prd-[slug].md and docs/srs/srs-[slug].md before closing the slice.docs/srs/srs-walkthrough.md.verify-work.REQ-*/AC-* trace and required SRS/test lanes.slug, operator_profile (carried, not re-inferred), completed slices, tests run, changed contracts, delegation packets, outcome report, next workflow.# Implementation Handoff: [Name]
## Completed Slices
## Tests Run
## Changed Contracts
## Requirement Trace Updates
## Evidence
## Known Risks
## Delegation Packets
## Outcome Report
feature_status: partially_implemented | implemented | blocked
requirement_trace: BRD-OBJ-* -> REQ-* -> AC-* -> SRS-* -> evidence
completed_evidence: []; missing_evidence: []; decision_needed: []; recommended_next_workflow: verify-work | plan-feature | design-solution
## Next Workflow
verify-work
## Cost Report
Call `get_session_cost(workflow="implement-feature")` before final handoff.
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Use when implementing any feature or bugfix, before writing implementation code
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
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Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
Take hoangnguyen0403/implement-feature from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.