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ldilov
Profil créateur GitHub

ldilov

Vue par dépôt de 65 skills collectés dans 1 dépôts GitHub.

skills collectés
65
dépôts
1
mis à jour
19 mai 2026
explorateur de dépôts

Dépôts et skills représentatifs

bug-investigation
Analystes en assurance qualité des logiciels et testeurs

Auto-discoverable wrapper for `.hforge/library/skills/bug-investigation/SKILL.md`.

19 mai 2026
double-diamond-feature
Spécialistes en gestion de projets

Auto-discoverable wrapper for `.hforge/library/skills/double-diamond-feature/SKILL.md`.

19 mai 2026
bug-investigation
Analystes en assurance qualité des logiciels et testeurs

Use for defects, regressions, outages, flaky tests, and unexpected behavior. Guides the agent through triage, containment, reproduction, hypotheses, root-cause evidence, fix verification, and recurrence prevention. Do not use as the primary workflow for new…

19 mai 2026
double-diamond-feature
Spécialistes en gestion de projets

Use for meaningful feature development before coding. Guides the agent through Discover, Define, Develop, and Deliver with evidence, options, validation, and rollback notes. Do not use for bugs, regressions, outages, or flaky tests; use bug-investigation…

19 mai 2026
complex-task-protocol
Spécialistes en gestion de projets

Auto-discoverable wrapper for `.hforge/library/skills/complex-task-protocol/SKILL.md`.

19 mai 2026
complex-task-protocol
Spécialistes en gestion de projets

Automatic operating protocol for complex agent tasks. Use when work is multi-step, risky, cross-module, orchestration-heavy, or likely to benefit from bounded sidecar help, verification discipline, recovery checkpoints, and durable learning capture.

19 mai 2026
hforge-recursive-investigate
Développeurs de logiciels

Auto-discoverable wrapper for the Harness Forge recursive-investigate workflow. Use when a task is ambiguous, cross-module, investigation-heavy, or likely to benefit from Typed RLM, bounded subcalls, and durable recursive artifacts.

4 avr. 2026
hforge-recursive-investigate
Développeurs de logiciels

recursive investigation orchestration using harness forge. use when the task is hard, ambiguous, cross-module, or likely to benefit from Typed RLM, bounded subcalls, durable iterations, and replayable recursive artifacts instead of chat-only reasoning.

4 avr. 2026
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